Overview

Brought to you by YData

Dataset statistics

Number of variables52
Number of observations739
Missing cells12004
Missing cells (%)31.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory300.3 KiB
Average record size in memory416.2 B

Variable types

DateTime3
Categorical23
Text24
Unsupported2

Alerts

Time Zone has constant value "Pacific Time (US & Canada)" Constant
Gift Card Sales has constant value "$0.00" Constant
Square Gift Card has constant value "$0.00" Constant
Other Tender Type has constant value "Custom" Constant
Location has constant value "Belly Rubb" Constant
Customer Reference ID has constant value ", " Constant
Cash App has constant value "$0.00" Constant
Free Processing Applied has constant value "$0.00" Constant
Unattributed Tips has constant value "$0.00" Constant
Card Brand is highly overall correlated with Discount Name and 4 other fieldsHigh correlation
Card Entry Methods is highly overall correlated with Device Name and 4 other fieldsHigh correlation
Device Name is highly overall correlated with Card Entry Methods and 7 other fieldsHigh correlation
Dining Option is highly overall correlated with Discount Name and 4 other fieldsHigh correlation
Discount Name is highly overall correlated with Card Brand and 9 other fieldsHigh correlation
Discounts is highly overall correlated with Discount NameHigh correlation
Event Type is highly overall correlated with Refund ReasonHigh correlation
Fee Fixed Rate is highly overall correlated with Card Brand and 6 other fieldsHigh correlation
Fee Percentage Rate is highly overall correlated with Card Brand and 6 other fieldsHigh correlation
Partial Refunds is highly overall correlated with Dining Option and 3 other fieldsHigh correlation
Refund Reason is highly overall correlated with Card Brand and 8 other fieldsHigh correlation
Service Charges is highly overall correlated with Device Name and 3 other fieldsHigh correlation
Source is highly overall correlated with Device Name and 5 other fieldsHigh correlation
Third Party Fees is highly overall correlated with Device Name and 3 other fieldsHigh correlation
Transaction Status is highly overall correlated with Card Brand and 5 other fieldsHigh correlation
Discounts is highly imbalanced (94.4%) Imbalance
Service Charges is highly imbalanced (94.1%) Imbalance
Partial Refunds is highly imbalanced (97.8%) Imbalance
Event Type is highly imbalanced (87.2%) Imbalance
Dining Option is highly imbalanced (88.4%) Imbalance
Third Party Fees is highly imbalanced (93.8%) Imbalance
Transaction Status is highly imbalanced (83.5%) Imbalance
Card Entry Methods has 463 (62.7%) missing values Missing
Other Tender Type has 367 (49.7%) missing values Missing
Tender Note has 487 (65.9%) missing values Missing
Card Brand has 463 (62.7%) missing values Missing
PAN Suffix has 463 (62.7%) missing values Missing
Device Name has 527 (71.3%) missing values Missing
Staff Name has 736 (99.6%) missing values Missing
Staff ID has 739 (100.0%) missing values Missing
Dining Option has 526 (71.2%) missing values Missing
Customer ID has 503 (68.1%) missing values Missing
Customer Name has 525 (71.0%) missing values Missing
Customer Reference ID has 738 (99.9%) missing values Missing
Device Nickname has 739 (100.0%) missing values Missing
Deposit ID has 462 (62.5%) missing values Missing
Deposit Date has 462 (62.5%) missing values Missing
Deposit Details has 462 (62.5%) missing values Missing
Fee Percentage Rate has 462 (62.5%) missing values Missing
Fee Fixed Rate has 462 (62.5%) missing values Missing
Refund Reason has 726 (98.2%) missing values Missing
Discount Name has 724 (98.0%) missing values Missing
Order Reference ID has 233 (31.5%) missing values Missing
Fulfillment Note has 722 (97.7%) missing values Missing
Unattributed Tips has 13 (1.8%) missing values Missing
Transaction ID has unique values Unique
Details has unique values Unique
Staff ID is an unsupported type, check if it needs cleaning or further analysis Unsupported
Device Nickname is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2025-01-02 19:44:50.138773
Analysis finished2025-01-02 19:44:52.381190
Duration2.24 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Date
Date

Distinct234
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2024-01-03 00:00:00
Maximum2024-12-20 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-01-02T11:44:52.440959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-01-02T11:44:52.546332image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Time
Date

Distinct736
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2025-01-02 00:05:39
Maximum2025-01-02 22:58:24
Invalid dates0
Invalid dates (%)0.0%
2025-01-02T11:44:52.651229image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-01-02T11:44:52.762146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Time Zone
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Pacific Time (US & Canada)
739 

Length

Max length26
Median length26
Mean length26
Min length26

Characters and Unicode

Total characters19214
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPacific Time (US & Canada)
2nd rowPacific Time (US & Canada)
3rd rowPacific Time (US & Canada)
4th rowPacific Time (US & Canada)
5th rowPacific Time (US & Canada)

Common Values

ValueCountFrequency (%)
Pacific Time (US & Canada) 739
100.0%

Length

2025-01-02T11:44:52.851767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:44:52.932623image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
pacific 739
20.0%
time 739
20.0%
us 739
20.0%
739
20.0%
canada 739
20.0%

Most occurring characters

ValueCountFrequency (%)
a 2956
15.4%
2956
15.4%
i 2217
11.5%
c 1478
 
7.7%
P 739
 
3.8%
f 739
 
3.8%
T 739
 
3.8%
m 739
 
3.8%
e 739
 
3.8%
( 739
 
3.8%
Other values (7) 5173
26.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 19214
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 2956
15.4%
2956
15.4%
i 2217
11.5%
c 1478
 
7.7%
P 739
 
3.8%
f 739
 
3.8%
T 739
 
3.8%
m 739
 
3.8%
e 739
 
3.8%
( 739
 
3.8%
Other values (7) 5173
26.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 19214
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 2956
15.4%
2956
15.4%
i 2217
11.5%
c 1478
 
7.7%
P 739
 
3.8%
f 739
 
3.8%
T 739
 
3.8%
m 739
 
3.8%
e 739
 
3.8%
( 739
 
3.8%
Other values (7) 5173
26.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 19214
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 2956
15.4%
2956
15.4%
i 2217
11.5%
c 1478
 
7.7%
P 739
 
3.8%
f 739
 
3.8%
T 739
 
3.8%
m 739
 
3.8%
e 739
 
3.8%
( 739
 
3.8%
Other values (7) 5173
26.9%
Distinct560
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:44:53.143291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.0581867
Min length5

Characters and Unicode

Total characters4477
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique489 ?
Unique (%)66.2%

Sample

1st row$48.99
2nd row$37.46
3rd row$132.15
4th row$40.12
5th row$32.19
ValueCountFrequency (%)
0.00 21
 
2.8%
19.99 15
 
2.0%
48.99 12
 
1.6%
34.93 9
 
1.2%
23.45 9
 
1.2%
24.25 8
 
1.1%
35.92 8
 
1.1%
17.45 8
 
1.1%
27.49 6
 
0.8%
44.27 5
 
0.7%
Other values (544) 638
86.3%
2025-01-02T11:44:53.564243image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
$ 739
16.5%
. 739
16.5%
4 396
8.8%
5 342
7.6%
9 340
7.6%
2 337
7.5%
3 315
7.0%
1 282
 
6.3%
7 260
 
5.8%
0 255
 
5.7%
Other values (4) 472
10.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4477
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
$ 739
16.5%
. 739
16.5%
4 396
8.8%
5 342
7.6%
9 340
7.6%
2 337
7.5%
3 315
7.0%
1 282
 
6.3%
7 260
 
5.8%
0 255
 
5.7%
Other values (4) 472
10.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4477
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
$ 739
16.5%
. 739
16.5%
4 396
8.8%
5 342
7.6%
9 340
7.6%
2 337
7.5%
3 315
7.0%
1 282
 
6.3%
7 260
 
5.8%
0 255
 
5.7%
Other values (4) 472
10.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4477
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
$ 739
16.5%
. 739
16.5%
4 396
8.8%
5 342
7.6%
9 340
7.6%
2 337
7.5%
3 315
7.0%
1 282
 
6.3%
7 260
 
5.8%
0 255
 
5.7%
Other values (4) 472
10.5%

Discounts
Categorical

High correlation  Imbalance 

Distinct16
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
$0.00
724 
-$4.54
 
1
-$4.90
 
1
-$3.49
 
1
$1.70
 
1
Other values (11)
 
11

Length

Max length6
Median length5
Mean length5.0189445
Min length5

Characters and Unicode

Total characters3709
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)2.0%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 724
98.0%
-$4.54 1
 
0.1%
-$4.90 1
 
0.1%
-$3.49 1
 
0.1%
$1.70 1
 
0.1%
-$5.98 1
 
0.1%
-$1.60 1
 
0.1%
-$2.86 1
 
0.1%
-$2.08 1
 
0.1%
-$5.00 1
 
0.1%
Other values (6) 6
 
0.8%

Length

2025-01-02T11:44:53.663366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.00 724
98.0%
4.54 1
 
0.1%
4.90 1
 
0.1%
3.49 1
 
0.1%
1.70 1
 
0.1%
5.98 1
 
0.1%
1.60 1
 
0.1%
2.86 1
 
0.1%
2.08 1
 
0.1%
5.00 1
 
0.1%
Other values (6) 6
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0 2179
58.7%
$ 739
 
19.9%
. 739
 
19.9%
- 14
 
0.4%
2 6
 
0.2%
8 6
 
0.2%
4 5
 
0.1%
5 5
 
0.1%
1 5
 
0.1%
3 4
 
0.1%
Other values (3) 7
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3709
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2179
58.7%
$ 739
 
19.9%
. 739
 
19.9%
- 14
 
0.4%
2 6
 
0.2%
8 6
 
0.2%
4 5
 
0.1%
5 5
 
0.1%
1 5
 
0.1%
3 4
 
0.1%
Other values (3) 7
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3709
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2179
58.7%
$ 739
 
19.9%
. 739
 
19.9%
- 14
 
0.4%
2 6
 
0.2%
8 6
 
0.2%
4 5
 
0.1%
5 5
 
0.1%
1 5
 
0.1%
3 4
 
0.1%
Other values (3) 7
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3709
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2179
58.7%
$ 739
 
19.9%
. 739
 
19.9%
- 14
 
0.4%
2 6
 
0.2%
8 6
 
0.2%
4 5
 
0.1%
5 5
 
0.1%
1 5
 
0.1%
3 4
 
0.1%
Other values (3) 7
 
0.2%

Service Charges
Categorical

High correlation  Imbalance 

Distinct16
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
$0.00
723 
$13.99
 
2
$15.79
 
1
$14.75
 
1
$35.80
 
1
Other values (11)
 
11

Length

Max length6
Median length5
Mean length5.0162382
Min length5

Characters and Unicode

Total characters3707
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.9%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 723
97.8%
$13.99 2
 
0.3%
$15.79 1
 
0.1%
$14.75 1
 
0.1%
$35.80 1
 
0.1%
$5.00 1
 
0.1%
$10.09 1
 
0.1%
$10.00 1
 
0.1%
$3.00 1
 
0.1%
$13.54 1
 
0.1%
Other values (6) 6
 
0.8%

Length

2025-01-02T11:44:53.759741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.00 723
97.8%
13.99 2
 
0.3%
15.79 1
 
0.1%
14.75 1
 
0.1%
35.80 1
 
0.1%
5.00 1
 
0.1%
10.09 1
 
0.1%
10.00 1
 
0.1%
3.00 1
 
0.1%
13.54 1
 
0.1%
Other values (6) 6
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0 2182
58.9%
$ 739
 
19.9%
. 739
 
19.9%
1 13
 
0.4%
9 8
 
0.2%
5 8
 
0.2%
3 6
 
0.2%
7 3
 
0.1%
4 3
 
0.1%
8 3
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3707
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2182
58.9%
$ 739
 
19.9%
. 739
 
19.9%
1 13
 
0.4%
9 8
 
0.2%
5 8
 
0.2%
3 6
 
0.2%
7 3
 
0.1%
4 3
 
0.1%
8 3
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3707
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2182
58.9%
$ 739
 
19.9%
. 739
 
19.9%
1 13
 
0.4%
9 8
 
0.2%
5 8
 
0.2%
3 6
 
0.2%
7 3
 
0.1%
4 3
 
0.1%
8 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3707
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2182
58.9%
$ 739
 
19.9%
. 739
 
19.9%
1 13
 
0.4%
9 8
 
0.2%
5 8
 
0.2%
3 6
 
0.2%
7 3
 
0.1%
4 3
 
0.1%
8 3
 
0.1%
Distinct563
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:44:53.936821image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.0581867
Min length5

Characters and Unicode

Total characters4477
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique493 ?
Unique (%)66.7%

Sample

1st row$48.99
2nd row$37.46
3rd row$132.15
4th row$40.12
5th row$32.19
ValueCountFrequency (%)
0.00 21
 
2.8%
19.99 15
 
2.0%
48.99 11
 
1.5%
23.45 9
 
1.2%
35.92 8
 
1.1%
34.93 8
 
1.1%
24.25 8
 
1.1%
17.45 8
 
1.1%
27.49 6
 
0.8%
44.27 5
 
0.7%
Other values (547) 640
86.6%
2025-01-02T11:44:54.265177image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
$ 739
16.5%
. 739
16.5%
4 399
8.9%
5 345
7.7%
2 339
7.6%
9 334
7.5%
3 315
7.0%
1 287
 
6.4%
0 256
 
5.7%
7 256
 
5.7%
Other values (4) 468
10.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4477
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
$ 739
16.5%
. 739
16.5%
4 399
8.9%
5 345
7.7%
2 339
7.6%
9 334
7.5%
3 315
7.0%
1 287
 
6.4%
0 256
 
5.7%
7 256
 
5.7%
Other values (4) 468
10.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4477
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
$ 739
16.5%
. 739
16.5%
4 399
8.9%
5 345
7.7%
2 339
7.6%
9 334
7.5%
3 315
7.0%
1 287
 
6.4%
0 256
 
5.7%
7 256
 
5.7%
Other values (4) 468
10.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4477
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
$ 739
16.5%
. 739
16.5%
4 399
8.9%
5 345
7.7%
2 339
7.6%
9 334
7.5%
3 315
7.0%
1 287
 
6.4%
0 256
 
5.7%
7 256
 
5.7%
Other values (4) 468
10.5%

Gift Card Sales
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
$0.00
739 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3695
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 739
100.0%

Length

2025-01-02T11:44:54.371075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:44:54.442871image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.00 739
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3695
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3695
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3695
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Tax
Text

Distinct426
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:44:54.616829image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0893099
Min length5

Characters and Unicode

Total characters3761
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)37.2%

Sample

1st row$4.65
2nd row$3.56
3rd row$11.80
4th row$3.81
5th row$3.06
ValueCountFrequency (%)
0.00 23
 
3.1%
1.90 15
 
2.0%
3.32 12
 
1.6%
2.23 10
 
1.4%
2.61 9
 
1.2%
1.66 8
 
1.1%
2.30 8
 
1.1%
2.94 7
 
0.9%
3.46 7
 
0.9%
4.65 7
 
0.9%
Other values (408) 633
85.7%
2025-01-02T11:44:54.890112image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
$ 739
19.6%
. 739
19.6%
2 337
9.0%
1 286
 
7.6%
4 267
 
7.1%
3 262
 
7.0%
0 255
 
6.8%
6 215
 
5.7%
5 209
 
5.6%
9 152
 
4.0%
Other values (3) 300
8.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3761
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
$ 739
19.6%
. 739
19.6%
2 337
9.0%
1 286
 
7.6%
4 267
 
7.1%
3 262
 
7.0%
0 255
 
6.8%
6 215
 
5.7%
5 209
 
5.6%
9 152
 
4.0%
Other values (3) 300
8.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3761
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
$ 739
19.6%
. 739
19.6%
2 337
9.0%
1 286
 
7.6%
4 267
 
7.1%
3 262
 
7.0%
0 255
 
6.8%
6 215
 
5.7%
5 209
 
5.6%
9 152
 
4.0%
Other values (3) 300
8.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3761
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
$ 739
19.6%
. 739
19.6%
2 337
9.0%
1 286
 
7.6%
4 267
 
7.1%
3 262
 
7.0%
0 255
 
6.8%
6 215
 
5.7%
5 209
 
5.6%
9 152
 
4.0%
Other values (3) 300
8.0%

Tip
Text

Distinct81
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:44:55.018017image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0230041
Min length5

Characters and Unicode

Total characters3712
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)8.9%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00
ValueCountFrequency (%)
0.00 641
86.7%
4.00 4
 
0.5%
5.00 4
 
0.5%
6.00 2
 
0.3%
4.69 2
 
0.3%
4.51 2
 
0.3%
20.00 2
 
0.3%
2.39 2
 
0.3%
6.56 2
 
0.3%
3.03 2
 
0.3%
Other values (71) 76
 
10.3%
2025-01-02T11:44:55.219979image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1979
53.3%
$ 739
 
19.9%
. 739
 
19.9%
1 42
 
1.1%
5 37
 
1.0%
4 34
 
0.9%
6 32
 
0.9%
3 30
 
0.8%
2 27
 
0.7%
7 21
 
0.6%
Other values (2) 32
 
0.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3712
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1979
53.3%
$ 739
 
19.9%
. 739
 
19.9%
1 42
 
1.1%
5 37
 
1.0%
4 34
 
0.9%
6 32
 
0.9%
3 30
 
0.8%
2 27
 
0.7%
7 21
 
0.6%
Other values (2) 32
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3712
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1979
53.3%
$ 739
 
19.9%
. 739
 
19.9%
1 42
 
1.1%
5 37
 
1.0%
4 34
 
0.9%
6 32
 
0.9%
3 30
 
0.8%
2 27
 
0.7%
7 21
 
0.6%
Other values (2) 32
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3712
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1979
53.3%
$ 739
 
19.9%
. 739
 
19.9%
1 42
 
1.1%
5 37
 
1.0%
4 34
 
0.9%
6 32
 
0.9%
3 30
 
0.8%
2 27
 
0.7%
7 21
 
0.6%
Other values (2) 32
 
0.9%

Partial Refunds
Categorical

High correlation  Imbalance 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
$0.00
736 
-$85.06
 
1
-$15.49
 
1
-$0.95
 
1

Length

Max length7
Median length5
Mean length5.0067659
Min length5

Characters and Unicode

Total characters3700
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 736
99.6%
-$85.06 1
 
0.1%
-$15.49 1
 
0.1%
-$0.95 1
 
0.1%

Length

2025-01-02T11:44:55.332677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:44:55.413704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.00 736
99.6%
85.06 1
 
0.1%
15.49 1
 
0.1%
0.95 1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 2210
59.7%
$ 739
 
20.0%
. 739
 
20.0%
- 3
 
0.1%
5 3
 
0.1%
9 2
 
0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
1 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3700
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2210
59.7%
$ 739
 
20.0%
. 739
 
20.0%
- 3
 
0.1%
5 3
 
0.1%
9 2
 
0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
1 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3700
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2210
59.7%
$ 739
 
20.0%
. 739
 
20.0%
- 3
 
0.1%
5 3
 
0.1%
9 2
 
0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
1 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3700
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2210
59.7%
$ 739
 
20.0%
. 739
 
20.0%
- 3
 
0.1%
5 3
 
0.1%
9 2
 
0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
1 1
 
< 0.1%
4 1
 
< 0.1%
Distinct598
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:44:55.602106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.0920162
Min length5

Characters and Unicode

Total characters4502
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique535 ?
Unique (%)72.4%

Sample

1st row$53.64
2nd row$41.02
3rd row$143.95
4th row$43.93
5th row$35.25
ValueCountFrequency (%)
0.00 18
 
2.4%
21.89 13
 
1.8%
19.11 7
 
0.9%
26.55 7
 
0.9%
53.64 7
 
0.9%
38.25 6
 
0.8%
25.68 6
 
0.8%
27.27 6
 
0.8%
30.10 5
 
0.7%
51.36 5
 
0.7%
Other values (582) 659
89.2%
2025-01-02T11:44:55.911098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
$ 739
16.4%
. 739
16.4%
2 369
8.2%
3 358
8.0%
1 345
7.7%
5 301
6.7%
4 299
6.6%
0 294
 
6.5%
6 288
 
6.4%
8 276
 
6.1%
Other values (4) 494
11.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4502
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
$ 739
16.4%
. 739
16.4%
2 369
8.2%
3 358
8.0%
1 345
7.7%
5 301
6.7%
4 299
6.6%
0 294
 
6.5%
6 288
 
6.4%
8 276
 
6.1%
Other values (4) 494
11.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4502
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
$ 739
16.4%
. 739
16.4%
2 369
8.2%
3 358
8.0%
1 345
7.7%
5 301
6.7%
4 299
6.6%
0 294
 
6.5%
6 288
 
6.4%
8 276
 
6.1%
Other values (4) 494
11.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4502
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
$ 739
16.4%
. 739
16.4%
2 369
8.2%
3 358
8.0%
1 345
7.7%
5 301
6.7%
4 299
6.6%
0 294
 
6.5%
6 288
 
6.4%
8 276
 
6.1%
Other values (4) 494
11.0%

Source
Categorical

High correlation 

Distinct12
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
DOORDASH
241 
Point of Sale
221 
Square Online
138 
Uber Eats Delivery
62 
Postmates Delivery
46 
Other values (7)
31 

Length

Max length22
Median length18
Mean length12.112314
Min length8

Characters and Unicode

Total characters8951
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st rowUber Eats Delivery
2nd rowPoint of Sale
3rd rowPoint of Sale
4th rowUber Eats Delivery
5th rowUber Eats Delivery

Common Values

ValueCountFrequency (%)
DOORDASH 241
32.6%
Point of Sale 221
29.9%
Square Online 138
18.7%
Uber Eats Delivery 62
 
8.4%
Postmates Delivery 46
 
6.2%
Uber Eats Pickup 9
 
1.2%
Payment Link 8
 
1.1%
STOREFRONT 7
 
0.9%
Postmates Pickup 3
 
0.4%
Invoices 2
 
0.3%
Other values (2) 2
 
0.3%

Length

2025-01-02T11:44:56.017313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
doordash 241
15.9%
point 221
14.5%
of 221
14.5%
sale 221
14.5%
square 138
9.1%
online 138
9.1%
delivery 108
7.1%
uber 71
 
4.7%
eats 71
 
4.7%
postmates 49
 
3.2%
Other values (9) 41
 
2.7%

Most occurring characters

ValueCountFrequency (%)
e 848
 
9.5%
781
 
8.7%
O 634
 
7.1%
S 607
 
6.8%
D 590
 
6.6%
n 518
 
5.8%
o 495
 
5.5%
i 492
 
5.5%
a 490
 
5.5%
l 469
 
5.2%
Other values (27) 3027
33.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8951
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 848
 
9.5%
781
 
8.7%
O 634
 
7.1%
S 607
 
6.8%
D 590
 
6.6%
n 518
 
5.8%
o 495
 
5.5%
i 492
 
5.5%
a 490
 
5.5%
l 469
 
5.2%
Other values (27) 3027
33.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8951
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 848
 
9.5%
781
 
8.7%
O 634
 
7.1%
S 607
 
6.8%
D 590
 
6.6%
n 518
 
5.8%
o 495
 
5.5%
i 492
 
5.5%
a 490
 
5.5%
l 469
 
5.2%
Other values (27) 3027
33.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8951
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 848
 
9.5%
781
 
8.7%
O 634
 
7.1%
S 607
 
6.8%
D 590
 
6.6%
n 518
 
5.8%
o 495
 
5.5%
i 492
 
5.5%
a 490
 
5.5%
l 469
 
5.2%
Other values (27) 3027
33.8%

Card
Text

Distinct254
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:44:56.192399image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.4424899
Min length5

Characters and Unicode

Total characters4022
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)32.1%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00
ValueCountFrequency (%)
0.00 463
62.7%
53.64 5
 
0.7%
48.48 4
 
0.5%
27.27 3
 
0.4%
16.95 3
 
0.4%
56.64 2
 
0.3%
49.56 2
 
0.3%
54.25 2
 
0.3%
36.19 2
 
0.3%
30.43 2
 
0.3%
Other values (242) 251
34.0%
2025-01-02T11:44:56.477974image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1491
37.1%
$ 739
18.4%
. 739
18.4%
4 141
 
3.5%
1 137
 
3.4%
3 126
 
3.1%
2 126
 
3.1%
5 116
 
2.9%
6 114
 
2.8%
7 108
 
2.7%
Other values (4) 185
 
4.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4022
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1491
37.1%
$ 739
18.4%
. 739
18.4%
4 141
 
3.5%
1 137
 
3.4%
3 126
 
3.1%
2 126
 
3.1%
5 116
 
2.9%
6 114
 
2.8%
7 108
 
2.7%
Other values (4) 185
 
4.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4022
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1491
37.1%
$ 739
18.4%
. 739
18.4%
4 141
 
3.5%
1 137
 
3.4%
3 126
 
3.1%
2 126
 
3.1%
5 116
 
2.9%
6 114
 
2.8%
7 108
 
2.7%
Other values (4) 185
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4022
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1491
37.1%
$ 739
18.4%
. 739
18.4%
4 141
 
3.5%
1 137
 
3.4%
3 126
 
3.1%
2 126
 
3.1%
5 116
 
2.9%
6 114
 
2.8%
7 108
 
2.7%
Other values (4) 185
 
4.6%

Card Entry Methods
Categorical

High correlation  Missing 

Distinct4
Distinct (%)1.4%
Missing463
Missing (%)62.7%
Memory size5.9 KiB
Keyed
166 
Tapped
96 
On File
 
10
Dipped
 
4

Length

Max length7
Median length5
Mean length5.4347826
Min length5

Characters and Unicode

Total characters1500
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKeyed
2nd rowKeyed
3rd rowKeyed
4th rowTapped
5th rowTapped

Common Values

ValueCountFrequency (%)
Keyed 166
 
22.5%
Tapped 96
 
13.0%
On File 10
 
1.4%
Dipped 4
 
0.5%
(Missing) 463
62.7%

Length

2025-01-02T11:44:56.588337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:44:56.667351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
keyed 166
58.0%
tapped 96
33.6%
on 10
 
3.5%
file 10
 
3.5%
dipped 4
 
1.4%

Most occurring characters

ValueCountFrequency (%)
e 442
29.5%
d 266
17.7%
p 200
13.3%
K 166
 
11.1%
y 166
 
11.1%
T 96
 
6.4%
a 96
 
6.4%
i 14
 
0.9%
n 10
 
0.7%
O 10
 
0.7%
Other values (4) 34
 
2.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1500
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 442
29.5%
d 266
17.7%
p 200
13.3%
K 166
 
11.1%
y 166
 
11.1%
T 96
 
6.4%
a 96
 
6.4%
i 14
 
0.9%
n 10
 
0.7%
O 10
 
0.7%
Other values (4) 34
 
2.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1500
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 442
29.5%
d 266
17.7%
p 200
13.3%
K 166
 
11.1%
y 166
 
11.1%
T 96
 
6.4%
a 96
 
6.4%
i 14
 
0.9%
n 10
 
0.7%
O 10
 
0.7%
Other values (4) 34
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1500
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 442
29.5%
d 266
17.7%
p 200
13.3%
K 166
 
11.1%
y 166
 
11.1%
T 96
 
6.4%
a 96
 
6.4%
i 14
 
0.9%
n 10
 
0.7%
O 10
 
0.7%
Other values (4) 34
 
2.3%

Cash
Text

Distinct64
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:44:56.777072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.1109608
Min length5

Characters and Unicode

Total characters3777
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)7.6%

Sample

1st row$0.00
2nd row$41.02
3rd row$143.95
4th row$0.00
5th row$0.00
ValueCountFrequency (%)
0.00 667
90.3%
77.03 3
 
0.4%
40.62 3
 
0.4%
23.38 2
 
0.3%
21.89 2
 
0.3%
29.26 2
 
0.3%
80.29 2
 
0.3%
23.74 2
 
0.3%
392.39 2
 
0.3%
26.55 1
 
0.1%
Other values (53) 53
 
7.2%
2025-01-02T11:44:56.995687image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2031
53.8%
$ 739
 
19.6%
. 739
 
19.6%
2 46
 
1.2%
3 38
 
1.0%
1 32
 
0.8%
5 29
 
0.8%
4 28
 
0.7%
7 25
 
0.7%
6 25
 
0.7%
Other values (3) 45
 
1.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3777
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2031
53.8%
$ 739
 
19.6%
. 739
 
19.6%
2 46
 
1.2%
3 38
 
1.0%
1 32
 
0.8%
5 29
 
0.8%
4 28
 
0.7%
7 25
 
0.7%
6 25
 
0.7%
Other values (3) 45
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3777
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2031
53.8%
$ 739
 
19.6%
. 739
 
19.6%
2 46
 
1.2%
3 38
 
1.0%
1 32
 
0.8%
5 29
 
0.8%
4 28
 
0.7%
7 25
 
0.7%
6 25
 
0.7%
Other values (3) 45
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3777
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2031
53.8%
$ 739
 
19.6%
. 739
 
19.6%
2 46
 
1.2%
3 38
 
1.0%
1 32
 
0.8%
5 29
 
0.8%
4 28
 
0.7%
7 25
 
0.7%
6 25
 
0.7%
Other values (3) 45
 
1.2%

Square Gift Card
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
$0.00
739 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3695
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 739
100.0%

Length

2025-01-02T11:44:57.089424image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:44:57.154942image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.00 739
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3695
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3695
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3695
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%
Distinct312
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:44:57.409093image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5358593
Min length5

Characters and Unicode

Total characters4091
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique279 ?
Unique (%)37.8%

Sample

1st row$53.64
2nd row$0.00
3rd row$0.00
4th row$43.93
5th row$35.25
ValueCountFrequency (%)
0.00 367
49.7%
21.89 10
 
1.4%
19.11 7
 
0.9%
26.55 5
 
0.7%
25.68 5
 
0.7%
38.25 4
 
0.5%
38.86 4
 
0.5%
51.36 4
 
0.5%
53.17 3
 
0.4%
39.84 3
 
0.4%
Other values (299) 327
44.2%
2025-01-02T11:44:57.737930image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1208
29.5%
$ 739
18.1%
. 739
18.1%
2 197
 
4.8%
3 194
 
4.7%
1 175
 
4.3%
5 156
 
3.8%
8 153
 
3.7%
6 148
 
3.6%
7 133
 
3.3%
Other values (3) 249
 
6.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4091
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1208
29.5%
$ 739
18.1%
. 739
18.1%
2 197
 
4.8%
3 194
 
4.7%
1 175
 
4.3%
5 156
 
3.8%
8 153
 
3.7%
6 148
 
3.6%
7 133
 
3.3%
Other values (3) 249
 
6.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4091
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1208
29.5%
$ 739
18.1%
. 739
18.1%
2 197
 
4.8%
3 194
 
4.7%
1 175
 
4.3%
5 156
 
3.8%
8 153
 
3.7%
6 148
 
3.6%
7 133
 
3.3%
Other values (3) 249
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4091
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1208
29.5%
$ 739
18.1%
. 739
18.1%
2 197
 
4.8%
3 194
 
4.7%
1 175
 
4.3%
5 156
 
3.8%
8 153
 
3.7%
6 148
 
3.6%
7 133
 
3.3%
Other values (3) 249
 
6.1%

Other Tender Type
Categorical

Constant  Missing 

Distinct1
Distinct (%)0.3%
Missing367
Missing (%)49.7%
Memory size5.9 KiB
Custom
372 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters2232
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCustom
2nd rowCustom
3rd rowCustom
4th rowCustom
5th rowCustom

Common Values

ValueCountFrequency (%)
Custom 372
50.3%
(Missing) 367
49.7%

Length

2025-01-02T11:44:57.835580image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:44:57.900555image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
custom 372
100.0%

Most occurring characters

ValueCountFrequency (%)
C 372
16.7%
u 372
16.7%
s 372
16.7%
t 372
16.7%
o 372
16.7%
m 372
16.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2232
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
C 372
16.7%
u 372
16.7%
s 372
16.7%
t 372
16.7%
o 372
16.7%
m 372
16.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2232
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
C 372
16.7%
u 372
16.7%
s 372
16.7%
t 372
16.7%
o 372
16.7%
m 372
16.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2232
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
C 372
16.7%
u 372
16.7%
s 372
16.7%
t 372
16.7%
o 372
16.7%
m 372
16.7%

Tender Note
Text

Missing 

Distinct249
Distinct (%)98.8%
Missing487
Missing (%)65.9%
Memory size5.9 KiB
2025-01-02T11:44:58.000862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length45
Median length45
Mean length44.892857
Min length18

Characters and Unicode

Total characters11313
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique246 ?
Unique (%)97.6%

Sample

1st rowDoorDash dc942764-e460-3001-8489-45a9246dab1f
2nd rowDoorDash 4d379e3e-5a14-3001-b8f4-47c637a6b0d8
3rd rowDoorDash e7e51a7d-dcd6-3001-89d7-74ce6ae385e4
4th rowDoorDash 1ca9b98d-778f-3001-924a-6f341cf4e40f
5th rowDoorDash 11abbc74-d6d4-3001-8a7a-79b35eb834f8
ValueCountFrequency (%)
doordash 251
49.6%
f8bdb390-e118-3001-ae8b-4a5424eecfba 2
 
0.4%
d7e207f6-52cc-3001-964d-02d3e8f7754a 2
 
0.4%
2313e2c0-b4a0-3001-9d27-1d353e2b355f 2
 
0.4%
4d379e3e-5a14-3001-b8f4-47c637a6b0d8 1
 
0.2%
e7e51a7d-dcd6-3001-89d7-74ce6ae385e4 1
 
0.2%
e4690548-86fa-3001-a4a8-9b1566da9caf 1
 
0.2%
00a1d631-d140-3001-9c83-8a057ccf4350 1
 
0.2%
1ca9b98d-778f-3001-924a-6f341cf4e40f 1
 
0.2%
11abbc74-d6d4-3001-8a7a-79b35eb834f8 1
 
0.2%
Other values (243) 243
48.0%
2025-01-02T11:44:58.196145image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1004
 
8.9%
0 859
 
7.6%
a 742
 
6.6%
1 685
 
6.1%
3 672
 
5.9%
o 504
 
4.5%
D 502
 
4.4%
8 494
 
4.4%
9 484
 
4.3%
4 464
 
4.1%
Other values (23) 4903
43.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11313
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
- 1004
 
8.9%
0 859
 
7.6%
a 742
 
6.6%
1 685
 
6.1%
3 672
 
5.9%
o 504
 
4.5%
D 502
 
4.4%
8 494
 
4.4%
9 484
 
4.3%
4 464
 
4.1%
Other values (23) 4903
43.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11313
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
- 1004
 
8.9%
0 859
 
7.6%
a 742
 
6.6%
1 685
 
6.1%
3 672
 
5.9%
o 504
 
4.5%
D 502
 
4.4%
8 494
 
4.4%
9 484
 
4.3%
4 464
 
4.1%
Other values (23) 4903
43.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11313
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
- 1004
 
8.9%
0 859
 
7.6%
a 742
 
6.6%
1 685
 
6.1%
3 672
 
5.9%
o 504
 
4.5%
D 502
 
4.4%
8 494
 
4.4%
9 484
 
4.3%
4 464
 
4.1%
Other values (23) 4903
43.3%

Fees
Text

Distinct185
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:44:58.388840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3991881
Min length5

Characters and Unicode

Total characters3990
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)17.9%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00
ValueCountFrequency (%)
0.00 469
63.5%
1.71 6
 
0.8%
0.88 6
 
0.8%
1.09 4
 
0.5%
1.94 4
 
0.5%
1.05 4
 
0.5%
1.96 3
 
0.4%
4.35 3
 
0.4%
1.49 3
 
0.4%
1.07 3
 
0.4%
Other values (175) 234
31.7%
2025-01-02T11:44:58.671134image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1516
38.0%
$ 739
18.5%
. 739
18.5%
- 269
 
6.7%
1 189
 
4.7%
2 93
 
2.3%
5 73
 
1.8%
4 70
 
1.8%
8 69
 
1.7%
3 68
 
1.7%
Other values (3) 165
 
4.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3990
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1516
38.0%
$ 739
18.5%
. 739
18.5%
- 269
 
6.7%
1 189
 
4.7%
2 93
 
2.3%
5 73
 
1.8%
4 70
 
1.8%
8 69
 
1.7%
3 68
 
1.7%
Other values (3) 165
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3990
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1516
38.0%
$ 739
18.5%
. 739
18.5%
- 269
 
6.7%
1 189
 
4.7%
2 93
 
2.3%
5 73
 
1.8%
4 70
 
1.8%
8 69
 
1.7%
3 68
 
1.7%
Other values (3) 165
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3990
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1516
38.0%
$ 739
18.5%
. 739
18.5%
- 269
 
6.7%
1 189
 
4.7%
2 93
 
2.3%
5 73
 
1.8%
4 70
 
1.8%
8 69
 
1.7%
3 68
 
1.7%
Other values (3) 165
 
4.1%
Distinct614
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:44:58.871522image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.0838972
Min length5

Characters and Unicode

Total characters4496
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique548 ?
Unique (%)74.2%

Sample

1st row$53.64
2nd row$41.02
3rd row$143.95
4th row$43.93
5th row$35.25
ValueCountFrequency (%)
0.00 19
 
2.6%
21.89 12
 
1.6%
19.11 7
 
0.9%
26.55 6
 
0.8%
51.36 5
 
0.7%
25.68 5
 
0.7%
38.86 4
 
0.5%
46.77 4
 
0.5%
16.41 4
 
0.5%
38.25 4
 
0.5%
Other values (599) 669
90.5%
2025-01-02T11:44:59.183421image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
$ 739
16.4%
. 739
16.4%
2 385
8.6%
3 345
7.7%
1 344
7.7%
5 310
6.9%
4 287
 
6.4%
6 284
 
6.3%
0 277
 
6.2%
7 276
 
6.1%
Other values (4) 510
11.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4496
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
$ 739
16.4%
. 739
16.4%
2 385
8.6%
3 345
7.7%
1 344
7.7%
5 310
6.9%
4 287
 
6.4%
6 284
 
6.3%
0 277
 
6.2%
7 276
 
6.1%
Other values (4) 510
11.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4496
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
$ 739
16.4%
. 739
16.4%
2 385
8.6%
3 345
7.7%
1 344
7.7%
5 310
6.9%
4 287
 
6.4%
6 284
 
6.3%
0 277
 
6.2%
7 276
 
6.1%
Other values (4) 510
11.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4496
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
$ 739
16.4%
. 739
16.4%
2 385
8.6%
3 345
7.7%
1 344
7.7%
5 310
6.9%
4 287
 
6.4%
6 284
 
6.3%
0 277
 
6.2%
7 276
 
6.1%
Other values (4) 510
11.3%

Transaction ID
Text

Unique 

Distinct739
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:44:59.309481image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length29
Median length29
Mean length27.88498
Min length25

Characters and Unicode

Total characters20607
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique739 ?
Unique (%)100.0%

Sample

1st rowwtpgITVklFVbT03zSxEOTiPBIJIZY
2nd row27ARtgJmvdGYMN6Q3oUKeNieV
3rd rowqj7Fk37n6zuXu6wRROz834qeV
4th row2yOoGdYSFvZRHxhsOSSkEJjxFNXZY
5th rowaKZCc6bo1YtLdZXGoeY7mB2iooAZY
ValueCountFrequency (%)
gk3a2j9s2t5wukatkeayr6oryizzy 1
 
0.1%
wvp7hej4tbfoa5qu8yuowe7xgnqzy 1
 
0.1%
wtpgitvklfvbt03zsxeotipbijizy 1
 
0.1%
u1qxdhjxlxbfhlyqe8zqdeoxsqnzy 1
 
0.1%
wlvydfdomsgivflql1zldrxev 1
 
0.1%
ecohucz44whvxtktiwx6l7wycnrzy 1
 
0.1%
qf8jxq1pqajrvttqkuy4xmsev 1
 
0.1%
evu4sidznkklympmi5p7sceoq0pzy 1
 
0.1%
2mfi7qgcpv8dbmskqv7hlovemaczy 1
 
0.1%
eiue6aalpssytwfb6kshagn3ukazy 1
 
0.1%
Other values (729) 729
98.6%
2025-01-02T11:44:59.518413image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 934
 
4.5%
Z 746
 
3.6%
e 532
 
2.6%
V 517
 
2.5%
Q 364
 
1.8%
6 345
 
1.7%
K 343
 
1.7%
A 339
 
1.6%
k 339
 
1.6%
G 334
 
1.6%
Other values (52) 15814
76.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20607
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
Y 934
 
4.5%
Z 746
 
3.6%
e 532
 
2.6%
V 517
 
2.5%
Q 364
 
1.8%
6 345
 
1.7%
K 343
 
1.7%
A 339
 
1.6%
k 339
 
1.6%
G 334
 
1.6%
Other values (52) 15814
76.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20607
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
Y 934
 
4.5%
Z 746
 
3.6%
e 532
 
2.6%
V 517
 
2.5%
Q 364
 
1.8%
6 345
 
1.7%
K 343
 
1.7%
A 339
 
1.6%
k 339
 
1.6%
G 334
 
1.6%
Other values (52) 15814
76.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20607
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
Y 934
 
4.5%
Z 746
 
3.6%
e 532
 
2.6%
V 517
 
2.5%
Q 364
 
1.8%
6 345
 
1.7%
K 343
 
1.7%
A 339
 
1.6%
k 339
 
1.6%
G 334
 
1.6%
Other values (52) 15814
76.7%
Distinct726
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:44:59.675559image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length60
Median length29
Mean length28.508796
Min length27

Characters and Unicode

Total characters21068
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique715 ?
Unique (%)96.8%

Sample

1st rowjPzEjnPTdbSu666RZXocLKRH5PYZY
2nd rowftpZEjxIjifWs7uqDIN7dNzRuaB
3rd rowd4NKBPDP0fmACxvrTPg0J7RMuaB
4th rowVMh8gh6UDDO9NHBN4cjHxiKLf85YY
5th rowFoVXJzew168yXlsZBx1NyUTs48RZY
ValueCountFrequency (%)
n6eoatzenv6hlxy9ejvlwsdzq1czy 3
 
0.4%
p3urleofzcwlpkonnzl7grtlladzy 3
 
0.4%
t03waex2vphjcg3ga7ffwloovab 2
 
0.3%
tsqwmqvzyv8yh1tgalds55gudiazy 2
 
0.3%
lscxfrdzzfhx4rwnlv5yxsrylqazy 2
 
0.3%
bmuww3jmsku5ghrq9ppvlqqiuab 2
 
0.3%
jdzh5yvacsjhitc0zoamoakcembzy 2
 
0.3%
f6uzfiyjwutmcte75saesnpg7fszy 2
 
0.3%
lpcfmsrayy4teqwsy5xncidguab 2
 
0.3%
j1atsasntrjvmxjfxbm4n3fdlh9yy 2
 
0.3%
Other values (717) 718
97.0%
2025-01-02T11:44:59.905494image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 944
 
4.5%
Z 795
 
3.8%
B 525
 
2.5%
a 480
 
2.3%
u 418
 
2.0%
v 376
 
1.8%
N 366
 
1.7%
D 358
 
1.7%
F 355
 
1.7%
z 354
 
1.7%
Other values (54) 16097
76.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 21068
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
Y 944
 
4.5%
Z 795
 
3.8%
B 525
 
2.5%
a 480
 
2.3%
u 418
 
2.0%
v 376
 
1.8%
N 366
 
1.7%
D 358
 
1.7%
F 355
 
1.7%
z 354
 
1.7%
Other values (54) 16097
76.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 21068
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
Y 944
 
4.5%
Z 795
 
3.8%
B 525
 
2.5%
a 480
 
2.3%
u 418
 
2.0%
v 376
 
1.8%
N 366
 
1.7%
D 358
 
1.7%
F 355
 
1.7%
z 354
 
1.7%
Other values (54) 16097
76.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 21068
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
Y 944
 
4.5%
Z 795
 
3.8%
B 525
 
2.5%
a 480
 
2.3%
u 418
 
2.0%
v 376
 
1.8%
N 366
 
1.7%
D 358
 
1.7%
F 355
 
1.7%
z 354
 
1.7%
Other values (54) 16097
76.4%

Card Brand
Categorical

High correlation  Missing 

Distinct5
Distinct (%)1.8%
Missing463
Missing (%)62.7%
Memory size5.9 KiB
Visa
196 
MasterCard
41 
American Express
32 
Discover
 
6
Visa, Visa
 
1

Length

Max length16
Median length4
Mean length6.3913043
Min length4

Characters and Unicode

Total characters1764
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st rowMasterCard
2nd rowAmerican Express
3rd rowVisa
4th rowVisa
5th rowMasterCard

Common Values

ValueCountFrequency (%)
Visa 196
26.5%
MasterCard 41
 
5.5%
American Express 32
 
4.3%
Discover 6
 
0.8%
Visa, Visa 1
 
0.1%
(Missing) 463
62.7%

Length

2025-01-02T11:45:00.005281image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:00.168163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
visa 198
64.1%
mastercard 41
 
13.3%
american 32
 
10.4%
express 32
 
10.4%
discover 6
 
1.9%

Most occurring characters

ValueCountFrequency (%)
a 312
17.7%
s 309
17.5%
i 236
13.4%
V 198
11.2%
r 152
8.6%
e 111
 
6.3%
t 41
 
2.3%
M 41
 
2.3%
C 41
 
2.3%
d 41
 
2.3%
Other values (12) 282
16.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1764
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 312
17.7%
s 309
17.5%
i 236
13.4%
V 198
11.2%
r 152
8.6%
e 111
 
6.3%
t 41
 
2.3%
M 41
 
2.3%
C 41
 
2.3%
d 41
 
2.3%
Other values (12) 282
16.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1764
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 312
17.7%
s 309
17.5%
i 236
13.4%
V 198
11.2%
r 152
8.6%
e 111
 
6.3%
t 41
 
2.3%
M 41
 
2.3%
C 41
 
2.3%
d 41
 
2.3%
Other values (12) 282
16.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1764
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 312
17.7%
s 309
17.5%
i 236
13.4%
V 198
11.2%
r 152
8.6%
e 111
 
6.3%
t 41
 
2.3%
M 41
 
2.3%
C 41
 
2.3%
d 41
 
2.3%
Other values (12) 282
16.0%

PAN Suffix
Text

Missing 

Distinct197
Distinct (%)71.4%
Missing463
Missing (%)62.7%
Memory size5.9 KiB
2025-01-02T11:45:00.334979image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.0217391
Min length4

Characters and Unicode

Total characters1110
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)60.1%

Sample

1st row4305
2nd row1002
3rd row1032
4th row3789
5th row9920
ValueCountFrequency (%)
9304 14
 
5.1%
1002 9
 
3.2%
1001 8
 
2.9%
5948 7
 
2.5%
1000 4
 
1.4%
6238 4
 
1.4%
5528 4
 
1.4%
6175 4
 
1.4%
2032 4
 
1.4%
5616 4
 
1.4%
Other values (186) 215
77.6%
2025-01-02T11:45:00.603131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 175
15.8%
1 128
11.5%
3 112
10.1%
9 112
10.1%
6 109
9.8%
4 107
9.6%
2 100
9.0%
7 90
8.1%
5 88
7.9%
8 87
7.8%
Other values (2) 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1110
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 175
15.8%
1 128
11.5%
3 112
10.1%
9 112
10.1%
6 109
9.8%
4 107
9.6%
2 100
9.0%
7 90
8.1%
5 88
7.9%
8 87
7.8%
Other values (2) 2
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1110
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 175
15.8%
1 128
11.5%
3 112
10.1%
9 112
10.1%
6 109
9.8%
4 107
9.6%
2 100
9.0%
7 90
8.1%
5 88
7.9%
8 87
7.8%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1110
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 175
15.8%
1 128
11.5%
3 112
10.1%
9 112
10.1%
6 109
9.8%
4 107
9.6%
2 100
9.0%
7 90
8.1%
5 88
7.9%
8 87
7.8%
Other values (2) 2
 
0.2%

Device Name
Categorical

High correlation  Missing 

Distinct3
Distinct (%)1.4%
Missing527
Missing (%)71.3%
Memory size5.9 KiB
Vartan
131 
Dashboard Belly Rubb
80 
Vartan’s iPad
 
1

Length

Max length20
Median length6
Mean length11.316038
Min length6

Characters and Unicode

Total characters2399
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st rowVartan
2nd rowDashboard Belly Rubb
3rd rowDashboard Belly Rubb
4th rowVartan
5th rowDashboard Belly Rubb

Common Values

ValueCountFrequency (%)
Vartan 131
 
17.7%
Dashboard Belly Rubb 80
 
10.8%
Vartan’s iPad 1
 
0.1%
(Missing) 527
71.3%

Length

2025-01-02T11:45:00.739541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:00.812324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
vartan 131
35.1%
dashboard 80
21.4%
belly 80
21.4%
rubb 80
21.4%
vartan’s 1
 
0.3%
ipad 1
 
0.3%

Most occurring characters

ValueCountFrequency (%)
a 425
17.7%
b 240
 
10.0%
r 212
 
8.8%
161
 
6.7%
l 160
 
6.7%
n 132
 
5.5%
t 132
 
5.5%
V 132
 
5.5%
d 81
 
3.4%
s 81
 
3.4%
Other values (11) 643
26.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2399
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 425
17.7%
b 240
 
10.0%
r 212
 
8.8%
161
 
6.7%
l 160
 
6.7%
n 132
 
5.5%
t 132
 
5.5%
V 132
 
5.5%
d 81
 
3.4%
s 81
 
3.4%
Other values (11) 643
26.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2399
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 425
17.7%
b 240
 
10.0%
r 212
 
8.8%
161
 
6.7%
l 160
 
6.7%
n 132
 
5.5%
t 132
 
5.5%
V 132
 
5.5%
d 81
 
3.4%
s 81
 
3.4%
Other values (11) 643
26.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2399
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 425
17.7%
b 240
 
10.0%
r 212
 
8.8%
161
 
6.7%
l 160
 
6.7%
n 132
 
5.5%
t 132
 
5.5%
V 132
 
5.5%
d 81
 
3.4%
s 81
 
3.4%
Other values (11) 643
26.8%

Staff Name
Text

Missing 

Distinct2
Distinct (%)66.7%
Missing736
Missing (%)99.6%
Memory size5.9 KiB
2025-01-02T11:45:00.873009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length34
Median length16
Mean length22
Min length16

Characters and Unicode

Total characters66
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st rowVartan Sarkisian
2nd rowVartan Sarkisian, Vartan Sarkisian
3rd rowVartan Sarkisian
ValueCountFrequency (%)
vartan 4
50.0%
sarkisian 4
50.0%
2025-01-02T11:45:01.015993image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 16
24.2%
r 8
12.1%
n 8
12.1%
i 8
12.1%
5
 
7.6%
V 4
 
6.1%
t 4
 
6.1%
S 4
 
6.1%
k 4
 
6.1%
s 4
 
6.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 66
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 16
24.2%
r 8
12.1%
n 8
12.1%
i 8
12.1%
5
 
7.6%
V 4
 
6.1%
t 4
 
6.1%
S 4
 
6.1%
k 4
 
6.1%
s 4
 
6.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 66
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 16
24.2%
r 8
12.1%
n 8
12.1%
i 8
12.1%
5
 
7.6%
V 4
 
6.1%
t 4
 
6.1%
S 4
 
6.1%
k 4
 
6.1%
s 4
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 66
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 16
24.2%
r 8
12.1%
n 8
12.1%
i 8
12.1%
5
 
7.6%
V 4
 
6.1%
t 4
 
6.1%
S 4
 
6.1%
k 4
 
6.1%
s 4
 
6.1%

Staff ID
Unsupported

Missing  Rejected  Unsupported 

Missing739
Missing (%)100.0%
Memory size5.9 KiB

Details
Text

Unique 

Distinct739
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:45:01.126921image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length105
Median length105
Mean length103.88498
Min length101

Characters and Unicode

Total characters76771
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique739 ?
Unique (%)100.0%

Sample

1st rowhttps://app.squareup.com/dashboard/sales/transactions/wtpgITVklFVbT03zSxEOTiPBIJIZY/by-unit/LCT784V6GTPNE
2nd rowhttps://app.squareup.com/dashboard/sales/transactions/27ARtgJmvdGYMN6Q3oUKeNieV/by-unit/LCT784V6GTPNE
3rd rowhttps://app.squareup.com/dashboard/sales/transactions/qj7Fk37n6zuXu6wRROz834qeV/by-unit/LCT784V6GTPNE
4th rowhttps://app.squareup.com/dashboard/sales/transactions/2yOoGdYSFvZRHxhsOSSkEJjxFNXZY/by-unit/LCT784V6GTPNE
5th rowhttps://app.squareup.com/dashboard/sales/transactions/aKZCc6bo1YtLdZXGoeY7mB2iooAZY/by-unit/LCT784V6GTPNE
ValueCountFrequency (%)
https://app.squareup.com/dashboard/sales/transactions/gk3a2j9s2t5wukatkeayr6oryizzy/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/wvp7hej4tbfoa5qu8yuowe7xgnqzy/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/wtpgitvklfvbt03zsxeotipbijizy/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/u1qxdhjxlxbfhlyqe8zqdeoxsqnzy/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/wlvydfdomsgivflql1zldrxev/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/ecohucz44whvxtktiwx6l7wycnrzy/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/qf8jxq1pqajrvttqkuy4xmsev/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/evu4sidznkklympmi5p7sceoq0pzy/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/2mfi7qgcpv8dbmskqv7hlovemaczy/by-unit/lct784v6gtpne 1
 
0.1%
https://app.squareup.com/dashboard/sales/transactions/eiue6aalpssytwfb6kshagn3ukazy/by-unit/lct784v6gtpne 1
 
0.1%
Other values (729) 729
98.6%
2025-01-02T11:45:01.330417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 5912
 
7.7%
a 5502
 
7.2%
s 5495
 
7.2%
t 4006
 
5.2%
p 3262
 
4.2%
o 2523
 
3.3%
u 2515
 
3.3%
r 2503
 
3.3%
n 2501
 
3.3%
e 2010
 
2.6%
Other values (56) 40542
52.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76771
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
/ 5912
 
7.7%
a 5502
 
7.2%
s 5495
 
7.2%
t 4006
 
5.2%
p 3262
 
4.2%
o 2523
 
3.3%
u 2515
 
3.3%
r 2503
 
3.3%
n 2501
 
3.3%
e 2010
 
2.6%
Other values (56) 40542
52.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76771
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
/ 5912
 
7.7%
a 5502
 
7.2%
s 5495
 
7.2%
t 4006
 
5.2%
p 3262
 
4.2%
o 2523
 
3.3%
u 2515
 
3.3%
r 2503
 
3.3%
n 2501
 
3.3%
e 2010
 
2.6%
Other values (56) 40542
52.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76771
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
/ 5912
 
7.7%
a 5502
 
7.2%
s 5495
 
7.2%
t 4006
 
5.2%
p 3262
 
4.2%
o 2523
 
3.3%
u 2515
 
3.3%
r 2503
 
3.3%
n 2501
 
3.3%
e 2010
 
2.6%
Other values (56) 40542
52.8%
Distinct578
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2025-01-02T11:45:01.508694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2936
Median length1033
Mean length616.71583
Min length13

Characters and Unicode

Total characters455753
Distinct characters88
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique525 ?
Unique (%)71.0%

Sample

1st rowBEEF BACK RIBS (Full Rack) (Regular) - Juicy, tender, and fall-of-the-bone! The new hit of the hood - glazed beef back ribs. Generously seasoned with our house-made rub mix and glazed with our Signature or Sweet&Spicy BBQ sauces. Includes a complimentary 3oz BBQ Sauce and pickled jalapeño peppers. *ALLERGEN CONTENT*: Sauce and Glaze may contain FISH and MUSTARD SEEDS *CONTAINS BONES*
2nd rowCRINKLE FRIES (Side) - Onions/bbq, GLAZED BABY BACK PORK RIBS (Half rack) - Behold! These ribs are to die for! Generously rubbed and glazed, slow-cooked for a whole day, tender, juicy, and fall-off-the bone like you’ve never experienced before. Signature bbq sauce and pickled jalapeños are on the house! *Allergen warning*: Sauce may contain traces of FISH and MUSTARD seeds. *Contains Rib Bones*, SIGNATURE BBQ DIP (Regular) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it. (*ALLERGEN WARNING* may contain seafood), 2 x DR. PEPPER ™ (Regular)
3rd rowCRINKLE FRIES (Side) - Onion and bbq, BAKED BABY POTATOES (Regular) - Onions/bbq, 2 x DR. PEPPER ™ (Regular), 2 x SPRITE™ (Regular), CHICKEN WINGS (6 pcs) - Juicy and Crispy, totally addictive Chicken Wings. Chef Walter's choice - Spicy BBQ Glaze & Zesty Lemon Pepper., 2 x SIGNATURE BBQ DIP (Regular) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it. (*ALLERGEN WARNING* may contain seafood), CRINKLE FRIES (Side) - Onions/BBQ, CHICKEN WINGS (6 pcs) - Juicy and Crispy, totally addictive Chicken Wings. Chef Walter's choice - Spicy BBQ Glaze & Zesty Lemon Pepper., GRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels. *Allergen Contents* Contains DAIRY, PICKLED JALAPEÑO PEPPERS (Regular), CRINKLE FRIES (Side) - Onions/BBQ, PICKLED JALAPEÑO PEPPERS (Regular), SIGNATURE BBQ DIP (Regular) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it. (*ALLERGEN WARNING* may contain seafood), 2 x SPRITE™ (Regular), 2 x DR. PEPPER ™ (Regular), BAKED BABY POTATOES (Regular) - Onion/BBQ, 2 x CHICKEN WINGS (6 pcs) - Juicy and Crispy, totally addictive Chicken Wings. Chef Walter's choice - Spicy BBQ Glaze & Zesty Lemon Pepper.
4th rowLOADED FRIES (Regular) - Load up our crispy crinkle fries to your heart’s content, and take a shortcut to making your belly full. *Allergen warning*: Cheese contains DAIRY., CHICKEN WINGS (6 pcs) - Juicy and Crispy, totally addictive Chicken Wings. Chef Walter's choice - Spicy BBQ Glaze & Zesty Lemon Pepper.
5th rowCIABATTA STEAK SANDWICH (Regular) - Slow-cooked cut of juicy, flat iron steak on a bed of arugula, with tangy chimichurri, melted provolone cheese(real california milk), and a smear of hummus on toasted ciabatta bread., LOADED FRIES (Regular) - Load up our crispy crinkle fries to your heart’s content, and take a shortcut to making your belly full. *Allergen warning*: Cheese contains DAIRY.
ValueCountFrequency (%)
and 4041
 
5.5%
2518
 
3.4%
with 1785
 
2.4%
a 1538
 
2.1%
of 1527
 
2.1%
for 1262
 
1.7%
regular 1173
 
1.6%
sauce 1123
 
1.5%
the 1060
 
1.4%
our 960
 
1.3%
Other values (565) 56296
76.8%
2025-01-02T11:45:01.815168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70588
 
15.5%
e 38917
 
8.5%
a 23887
 
5.2%
o 21915
 
4.8%
r 19948
 
4.4%
i 18997
 
4.2%
n 18106
 
4.0%
t 17466
 
3.8%
l 17452
 
3.8%
s 17381
 
3.8%
Other values (78) 191096
41.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 455753
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
70588
 
15.5%
e 38917
 
8.5%
a 23887
 
5.2%
o 21915
 
4.8%
r 19948
 
4.4%
i 18997
 
4.2%
n 18106
 
4.0%
t 17466
 
3.8%
l 17452
 
3.8%
s 17381
 
3.8%
Other values (78) 191096
41.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 455753
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
70588
 
15.5%
e 38917
 
8.5%
a 23887
 
5.2%
o 21915
 
4.8%
r 19948
 
4.4%
i 18997
 
4.2%
n 18106
 
4.0%
t 17466
 
3.8%
l 17452
 
3.8%
s 17381
 
3.8%
Other values (78) 191096
41.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 455753
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
70588
 
15.5%
e 38917
 
8.5%
a 23887
 
5.2%
o 21915
 
4.8%
r 19948
 
4.4%
i 18997
 
4.2%
n 18106
 
4.0%
t 17466
 
3.8%
l 17452
 
3.8%
s 17381
 
3.8%
Other values (78) 191096
41.9%

Event Type
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Payment
726 
Refund
 
13

Length

Max length7
Median length7
Mean length6.9824087
Min length6

Characters and Unicode

Total characters5160
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPayment
2nd rowPayment
3rd rowPayment
4th rowPayment
5th rowPayment

Common Values

ValueCountFrequency (%)
Payment 726
98.2%
Refund 13
 
1.8%

Length

2025-01-02T11:45:01.906642image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:01.978339image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
payment 726
98.2%
refund 13
 
1.8%

Most occurring characters

ValueCountFrequency (%)
e 739
14.3%
n 739
14.3%
P 726
14.1%
y 726
14.1%
a 726
14.1%
m 726
14.1%
t 726
14.1%
R 13
 
0.3%
f 13
 
0.3%
u 13
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5160
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 739
14.3%
n 739
14.3%
P 726
14.1%
y 726
14.1%
a 726
14.1%
m 726
14.1%
t 726
14.1%
R 13
 
0.3%
f 13
 
0.3%
u 13
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5160
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 739
14.3%
n 739
14.3%
P 726
14.1%
y 726
14.1%
a 726
14.1%
m 726
14.1%
t 726
14.1%
R 13
 
0.3%
f 13
 
0.3%
u 13
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5160
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 739
14.3%
n 739
14.3%
P 726
14.1%
y 726
14.1%
a 726
14.1%
m 726
14.1%
t 726
14.1%
R 13
 
0.3%
f 13
 
0.3%
u 13
 
0.3%

Location
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Belly Rubb
739 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters7390
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBelly Rubb
2nd rowBelly Rubb
3rd rowBelly Rubb
4th rowBelly Rubb
5th rowBelly Rubb

Common Values

ValueCountFrequency (%)
Belly Rubb 739
100.0%

Length

2025-01-02T11:45:02.055268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:02.121624image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
belly 739
50.0%
rubb 739
50.0%

Most occurring characters

ValueCountFrequency (%)
l 1478
20.0%
b 1478
20.0%
e 739
10.0%
B 739
10.0%
y 739
10.0%
739
10.0%
R 739
10.0%
u 739
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7390
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
l 1478
20.0%
b 1478
20.0%
e 739
10.0%
B 739
10.0%
y 739
10.0%
739
10.0%
R 739
10.0%
u 739
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7390
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
l 1478
20.0%
b 1478
20.0%
e 739
10.0%
B 739
10.0%
y 739
10.0%
739
10.0%
R 739
10.0%
u 739
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7390
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
l 1478
20.0%
b 1478
20.0%
e 739
10.0%
B 739
10.0%
y 739
10.0%
739
10.0%
R 739
10.0%
u 739
10.0%

Dining Option
Categorical

High correlation  Imbalance  Missing 

Distinct5
Distinct (%)2.3%
Missing526
Missing (%)71.2%
Memory size5.9 KiB
Pick Up
206 
Delivery
 
3
For Here
 
2
Pick Up, Delivery
 
1
Pick Up, For Here
 
1

Length

Max length17
Median length7
Mean length7.1173709
Min length7

Characters and Unicode

Total characters1516
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st rowPick Up
2nd rowPick Up
3rd rowPick Up
4th rowPick Up
5th rowPick Up

Common Values

ValueCountFrequency (%)
Pick Up 206
 
27.9%
Delivery 3
 
0.4%
For Here 2
 
0.3%
Pick Up, Delivery 1
 
0.1%
Pick Up, For Here 1
 
0.1%
(Missing) 526
71.2%

Length

2025-01-02T11:45:02.185288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:02.269344image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
pick 208
48.8%
up 208
48.8%
delivery 4
 
0.9%
for 3
 
0.7%
here 3
 
0.7%

Most occurring characters

ValueCountFrequency (%)
213
14.1%
i 212
14.0%
P 208
13.7%
c 208
13.7%
k 208
13.7%
U 208
13.7%
p 208
13.7%
e 14
 
0.9%
r 10
 
0.7%
D 4
 
0.3%
Other values (7) 23
 
1.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
213
14.1%
i 212
14.0%
P 208
13.7%
c 208
13.7%
k 208
13.7%
U 208
13.7%
p 208
13.7%
e 14
 
0.9%
r 10
 
0.7%
D 4
 
0.3%
Other values (7) 23
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
213
14.1%
i 212
14.0%
P 208
13.7%
c 208
13.7%
k 208
13.7%
U 208
13.7%
p 208
13.7%
e 14
 
0.9%
r 10
 
0.7%
D 4
 
0.3%
Other values (7) 23
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
213
14.1%
i 212
14.0%
P 208
13.7%
c 208
13.7%
k 208
13.7%
U 208
13.7%
p 208
13.7%
e 14
 
0.9%
r 10
 
0.7%
D 4
 
0.3%
Other values (7) 23
 
1.5%

Customer ID
Text

Missing 

Distinct129
Distinct (%)54.7%
Missing503
Missing (%)68.1%
Memory size5.9 KiB
2025-01-02T11:45:02.388795image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length54
Median length26
Mean length26.118644
Min length26

Characters and Unicode

Total characters6164
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)44.5%

Sample

1st rowWCS1A47C053490N4C24WHT466C
2nd rowPXKHFYGYSS3N37MPV5CPWVXN5R
3rd rowPEYEY23689G5WHEFCEAZQMAY60
4th rowHVBD6NK68BCX46HC22HW0Q19Z0
5th rowEAVWPNM17JZRN9TYB5BC420MP4
ValueCountFrequency (%)
wcs1a47c053490n4c24wht466c 18
 
7.6%
peyey23689g5whefceazqmay60 17
 
7.2%
jcj1x244d95fz8jytx0vzekch8 14
 
5.9%
vtyyzzw2wx0857zvpecqe4t66r 9
 
3.8%
bmxjm3w9ycqd7y42f5q72x7dhc 7
 
3.0%
nhv3k38rp97sk54ezwafyjc7zm 7
 
3.0%
wg8az9ew89cn9jzky5gpewkt6w 7
 
3.0%
t0xc7qarx57whf2xh7brkwvn20 6
 
2.5%
sp0pz0f1q9465b4bn5crcyqcvm 6
 
2.5%
3c4qtk3jm11076694ga44keq38 4
 
1.7%
Other values (118) 142
59.9%
2025-01-02T11:45:02.598105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 301
 
4.9%
4 291
 
4.7%
0 253
 
4.1%
W 237
 
3.8%
8 236
 
3.8%
Y 234
 
3.8%
E 228
 
3.7%
6 219
 
3.6%
5 217
 
3.5%
9 216
 
3.5%
Other values (24) 3732
60.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6164
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
C 301
 
4.9%
4 291
 
4.7%
0 253
 
4.1%
W 237
 
3.8%
8 236
 
3.8%
Y 234
 
3.8%
E 228
 
3.7%
6 219
 
3.6%
5 217
 
3.5%
9 216
 
3.5%
Other values (24) 3732
60.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6164
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
C 301
 
4.9%
4 291
 
4.7%
0 253
 
4.1%
W 237
 
3.8%
8 236
 
3.8%
Y 234
 
3.8%
E 228
 
3.7%
6 219
 
3.6%
5 217
 
3.5%
9 216
 
3.5%
Other values (24) 3732
60.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6164
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
C 301
 
4.9%
4 291
 
4.7%
0 253
 
4.1%
W 237
 
3.8%
8 236
 
3.8%
Y 234
 
3.8%
E 228
 
3.7%
6 219
 
3.6%
5 217
 
3.5%
9 216
 
3.5%
Other values (24) 3732
60.5%

Customer Name
Text

Missing 

Distinct111
Distinct (%)51.9%
Missing525
Missing (%)71.0%
Memory size5.9 KiB
2025-01-02T11:45:02.774880image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length36
Median length19
Mean length12.626168
Min length4

Characters and Unicode

Total characters2702
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)41.6%

Sample

1st rowTroy Issac
2nd rowRip Geru- Maa
3rd rowSteven Trella
4th rowSaqo
5th rowMichael Keshishyan
ValueCountFrequency (%)
steven 19
 
4.7%
troy 18
 
4.4%
issac 18
 
4.4%
trella 17
 
4.2%
diaz 15
 
3.7%
alexander 14
 
3.4%
john 9
 
2.2%
vuong 9
 
2.2%
michael 9
 
2.2%
junior 7
 
1.7%
Other values (187) 272
66.8%
2025-01-02T11:45:03.049396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 295
 
10.9%
e 237
 
8.8%
n 216
 
8.0%
193
 
7.1%
r 172
 
6.4%
o 151
 
5.6%
i 149
 
5.5%
l 123
 
4.6%
s 96
 
3.6%
y 75
 
2.8%
Other values (45) 995
36.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2702
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 295
 
10.9%
e 237
 
8.8%
n 216
 
8.0%
193
 
7.1%
r 172
 
6.4%
o 151
 
5.6%
i 149
 
5.5%
l 123
 
4.6%
s 96
 
3.6%
y 75
 
2.8%
Other values (45) 995
36.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2702
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 295
 
10.9%
e 237
 
8.8%
n 216
 
8.0%
193
 
7.1%
r 172
 
6.4%
o 151
 
5.6%
i 149
 
5.5%
l 123
 
4.6%
s 96
 
3.6%
y 75
 
2.8%
Other values (45) 995
36.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2702
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 295
 
10.9%
e 237
 
8.8%
n 216
 
8.0%
193
 
7.1%
r 172
 
6.4%
o 151
 
5.6%
i 149
 
5.5%
l 123
 
4.6%
s 96
 
3.6%
y 75
 
2.8%
Other values (45) 995
36.8%

Customer Reference ID
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing738
Missing (%)99.9%
Memory size5.9 KiB
2025-01-02T11:45:03.104726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row,
ValueCountFrequency (%)
1
100.0%
2025-01-02T11:45:03.222719image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Device Nickname
Unsupported

Missing  Rejected  Unsupported 

Missing739
Missing (%)100.0%
Memory size5.9 KiB

Third Party Fees
Categorical

High correlation  Imbalance 

Distinct15
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
$0.00
722 
$15.49
 
3
$13.49
 
2
$16.25
 
1
$46.29
 
1
Other values (10)
 
10

Length

Max length6
Median length5
Mean length5.0230041
Min length5

Characters and Unicode

Total characters3712
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.6%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 722
97.7%
$15.49 3
 
0.4%
$13.49 2
 
0.3%
$16.25 1
 
0.1%
$46.29 1
 
0.1%
$20.58 1
 
0.1%
$17.29 1
 
0.1%
$20.49 1
 
0.1%
$10.49 1
 
0.1%
$24.03 1
 
0.1%
Other values (5) 5
 
0.7%

Length

2025-01-02T11:45:03.305626image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0.00 722
97.7%
15.49 3
 
0.4%
13.49 2
 
0.3%
16.25 1
 
0.1%
46.29 1
 
0.1%
20.58 1
 
0.1%
17.29 1
 
0.1%
20.49 1
 
0.1%
10.49 1
 
0.1%
24.03 1
 
0.1%
Other values (5) 5
 
0.7%

Most occurring characters

ValueCountFrequency (%)
0 2171
58.5%
$ 739
 
19.9%
. 739
 
19.9%
1 14
 
0.4%
4 11
 
0.3%
9 9
 
0.2%
2 9
 
0.2%
5 6
 
0.2%
3 6
 
0.2%
6 4
 
0.1%
Other values (2) 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3712
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2171
58.5%
$ 739
 
19.9%
. 739
 
19.9%
1 14
 
0.4%
4 11
 
0.3%
9 9
 
0.2%
2 9
 
0.2%
5 6
 
0.2%
3 6
 
0.2%
6 4
 
0.1%
Other values (2) 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3712
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2171
58.5%
$ 739
 
19.9%
. 739
 
19.9%
1 14
 
0.4%
4 11
 
0.3%
9 9
 
0.2%
2 9
 
0.2%
5 6
 
0.2%
3 6
 
0.2%
6 4
 
0.1%
Other values (2) 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3712
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2171
58.5%
$ 739
 
19.9%
. 739
 
19.9%
1 14
 
0.4%
4 11
 
0.3%
9 9
 
0.2%
2 9
 
0.2%
5 6
 
0.2%
3 6
 
0.2%
6 4
 
0.1%
Other values (2) 4
 
0.1%

Deposit ID
Text

Missing 

Distinct272
Distinct (%)98.2%
Missing462
Missing (%)62.5%
Memory size5.9 KiB
2025-01-02T11:45:03.430021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length58
Median length28
Mean length28.108303
Min length28

Characters and Unicode

Total characters7786
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)96.8%

Sample

1st row3ZY3NPFDXY610V71C4TXK50CSVB1
2nd row3Z989HHTDSQD281AHGCKV79E9H5D
3rd row3ZEQRY3M3F5D60B1AA3Y3D7KD2DH
4th row3Z5VENW3YTWD4GZCNH55ZHGD73D5
5th row3Z0ZAWEGJ1T114BDV7WPD2G1CCHD
ValueCountFrequency (%)
3zhgwa5531w137fbftycnrjdp3x9 3
 
1.1%
3zzppm5nsswd61degqf42ja2fcb5 2
 
0.7%
3znhywvfjx6s09s17ccxppce2rqh 2
 
0.7%
3z2kzakj0cfn7wf3987cv0zgdkr1 2
 
0.7%
3ztmwkv0g9mx5hf5a25ygvtps3gx 1
 
0.4%
3zm1jr9mnv550w11xdnzg6kqe3js 1
 
0.4%
3z29descf3451c7dmd7f3tj0x17h 1
 
0.4%
3zg5a5j837cs3gx9qckm6y21wqdn 1
 
0.4%
3zpkn1w0q0mh68q98bpf5089yeah 1
 
0.4%
3zvhwb8cfbex5tb6qarjgywbj7xh 1
 
0.4%
Other values (263) 263
94.6%
2025-01-02T11:45:03.639736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 542
 
7.0%
Z 454
 
5.8%
5 307
 
3.9%
1 295
 
3.8%
H 291
 
3.7%
9 288
 
3.7%
S 282
 
3.6%
N 281
 
3.6%
D 277
 
3.6%
X 270
 
3.5%
Other values (24) 4499
57.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7786
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3 542
 
7.0%
Z 454
 
5.8%
5 307
 
3.9%
1 295
 
3.8%
H 291
 
3.7%
9 288
 
3.7%
S 282
 
3.6%
N 281
 
3.6%
D 277
 
3.6%
X 270
 
3.5%
Other values (24) 4499
57.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7786
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3 542
 
7.0%
Z 454
 
5.8%
5 307
 
3.9%
1 295
 
3.8%
H 291
 
3.7%
9 288
 
3.7%
S 282
 
3.6%
N 281
 
3.6%
D 277
 
3.6%
X 270
 
3.5%
Other values (24) 4499
57.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7786
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3 542
 
7.0%
Z 454
 
5.8%
5 307
 
3.9%
1 295
 
3.8%
H 291
 
3.7%
9 288
 
3.7%
S 282
 
3.6%
N 281
 
3.6%
D 277
 
3.6%
X 270
 
3.5%
Other values (24) 4499
57.8%

Deposit Date
Date

Missing 

Distinct156
Distinct (%)56.3%
Missing462
Missing (%)62.5%
Memory size5.9 KiB
Minimum2024-08-22 00:00:00
Maximum2024-12-19 00:00:00
Invalid dates131
Invalid dates (%)17.7%
2025-01-02T11:45:03.744346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-01-02T11:45:03.847842image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Deposit Details
Text

Missing 

Distinct272
Distinct (%)98.2%
Missing462
Missing (%)62.5%
Memory size5.9 KiB
2025-01-02T11:45:03.960069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length202
Median length100
Mean length100.36823
Min length100

Characters and Unicode

Total characters27802
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)96.8%

Sample

1st rowhttps://app.squareup.com/dashboard/sales/deposits/3ZY3NPFDXY610V71C4TXK50CSVB1/by-unit/LCT784V6GTPNE
2nd rowhttps://app.squareup.com/dashboard/sales/deposits/3Z989HHTDSQD281AHGCKV79E9H5D/by-unit/LCT784V6GTPNE
3rd rowhttps://app.squareup.com/dashboard/sales/deposits/3ZEQRY3M3F5D60B1AA3Y3D7KD2DH/by-unit/LCT784V6GTPNE
4th rowhttps://app.squareup.com/dashboard/sales/deposits/3Z5VENW3YTWD4GZCNH55ZHGD73D5/by-unit/LCT784V6GTPNE
5th rowhttps://app.squareup.com/dashboard/sales/deposits/3Z0ZAWEGJ1T114BDV7WPD2G1CCHD/by-unit/LCT784V6GTPNE
ValueCountFrequency (%)
https://app.squareup.com/dashboard/sales/deposits/3zhgwa5531w137fbftycnrjdp3x9/by-unit/lct784v6gtpne 3
 
1.1%
https://app.squareup.com/dashboard/sales/deposits/3zzppm5nsswd61degqf42ja2fcb5/by-unit/lct784v6gtpne 2
 
0.7%
https://app.squareup.com/dashboard/sales/deposits/3znhywvfjx6s09s17ccxppce2rqh/by-unit/lct784v6gtpne 2
 
0.7%
https://app.squareup.com/dashboard/sales/deposits/3z2kzakj0cfn7wf3987cv0zgdkr1/by-unit/lct784v6gtpne 2
 
0.7%
https://app.squareup.com/dashboard/sales/deposits/3ztmwkv0g9mx5hf5a25ygvtps3gx/by-unit/lct784v6gtpne 1
 
0.4%
https://app.squareup.com/dashboard/sales/deposits/3zm1jr9mnv550w11xdnzg6kqe3js/by-unit/lct784v6gtpne 1
 
0.4%
https://app.squareup.com/dashboard/sales/deposits/3z29descf3451c7dmd7f3tj0x17h/by-unit/lct784v6gtpne 1
 
0.4%
https://app.squareup.com/dashboard/sales/deposits/3zg5a5j837cs3gx9qckm6y21wqdn/by-unit/lct784v6gtpne 1
 
0.4%
https://app.squareup.com/dashboard/sales/deposits/3zpkn1w0q0mh68q98bpf5089yeah/by-unit/lct784v6gtpne 1
 
0.4%
https://app.squareup.com/dashboard/sales/deposits/3zvhwb8cfbex5tb6qarjgywbj7xh/by-unit/lct784v6gtpne 1
 
0.4%
Other values (263) 263
94.6%
2025-01-02T11:45:04.141727image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2224
 
8.0%
s 1946
 
7.0%
a 1390
 
5.0%
p 1390
 
5.0%
t 1112
 
4.0%
o 834
 
3.0%
d 834
 
3.0%
e 834
 
3.0%
u 834
 
3.0%
T 736
 
2.6%
Other values (47) 15668
56.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 27802
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
/ 2224
 
8.0%
s 1946
 
7.0%
a 1390
 
5.0%
p 1390
 
5.0%
t 1112
 
4.0%
o 834
 
3.0%
d 834
 
3.0%
e 834
 
3.0%
u 834
 
3.0%
T 736
 
2.6%
Other values (47) 15668
56.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 27802
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
/ 2224
 
8.0%
s 1946
 
7.0%
a 1390
 
5.0%
p 1390
 
5.0%
t 1112
 
4.0%
o 834
 
3.0%
d 834
 
3.0%
e 834
 
3.0%
u 834
 
3.0%
T 736
 
2.6%
Other values (47) 15668
56.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 27802
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
/ 2224
 
8.0%
s 1946
 
7.0%
a 1390
 
5.0%
p 1390
 
5.0%
t 1112
 
4.0%
o 834
 
3.0%
d 834
 
3.0%
e 834
 
3.0%
u 834
 
3.0%
T 736
 
2.6%
Other values (47) 15668
56.4%

Fee Percentage Rate
Categorical

High correlation  Missing 

Distinct6
Distinct (%)2.2%
Missing462
Missing (%)62.5%
Memory size5.9 KiB
2.9
151 
2.6
100 
3.5
23 
6.0
 
1
3.3
 
1

Length

Max length8
Median length3
Mean length3.0180505
Min length3

Characters and Unicode

Total characters836
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row2.9
2nd row2.9
3rd row3.5
4th row2.6
5th row2.6

Common Values

ValueCountFrequency (%)
2.9 151
 
20.4%
2.6 100
 
13.5%
3.5 23
 
3.1%
6.0 1
 
0.1%
3.3 1
 
0.1%
3.3, 3.3 1
 
0.1%
(Missing) 462
62.5%

Length

2025-01-02T11:45:04.225526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:04.307391image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
2.9 151
54.3%
2.6 100
36.0%
3.5 23
 
8.3%
3.3 3
 
1.1%
6.0 1
 
0.4%

Most occurring characters

ValueCountFrequency (%)
. 278
33.3%
2 251
30.0%
9 151
18.1%
6 101
 
12.1%
3 29
 
3.5%
5 23
 
2.8%
0 1
 
0.1%
, 1
 
0.1%
1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 836
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 278
33.3%
2 251
30.0%
9 151
18.1%
6 101
 
12.1%
3 29
 
3.5%
5 23
 
2.8%
0 1
 
0.1%
, 1
 
0.1%
1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 836
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 278
33.3%
2 251
30.0%
9 151
18.1%
6 101
 
12.1%
3 29
 
3.5%
5 23
 
2.8%
0 1
 
0.1%
, 1
 
0.1%
1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 836
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 278
33.3%
2 251
30.0%
9 151
18.1%
6 101
 
12.1%
3 29
 
3.5%
5 23
 
2.8%
0 1
 
0.1%
, 1
 
0.1%
1
 
0.1%

Fee Fixed Rate
Categorical

High correlation  Missing 

Distinct4
Distinct (%)1.4%
Missing462
Missing (%)62.5%
Memory size5.9 KiB
$0.30
153 
$0.10
100 
$0.15
23 
$0.30, $0.30
 
1

Length

Max length12
Median length5
Mean length5.0252708
Min length5

Characters and Unicode

Total characters1392
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row$0.30
2nd row$0.30
3rd row$0.15
4th row$0.10
5th row$0.10

Common Values

ValueCountFrequency (%)
$0.30 153
 
20.7%
$0.10 100
 
13.5%
$0.15 23
 
3.1%
$0.30, $0.30 1
 
0.1%
(Missing) 462
62.5%

Length

2025-01-02T11:45:04.388082image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:04.708444image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.30 155
55.8%
0.10 100
36.0%
0.15 23
 
8.3%

Most occurring characters

ValueCountFrequency (%)
0 533
38.3%
$ 278
20.0%
. 278
20.0%
3 155
 
11.1%
1 123
 
8.8%
5 23
 
1.7%
, 1
 
0.1%
1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1392
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 533
38.3%
$ 278
20.0%
. 278
20.0%
3 155
 
11.1%
1 123
 
8.8%
5 23
 
1.7%
, 1
 
0.1%
1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1392
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 533
38.3%
$ 278
20.0%
. 278
20.0%
3 155
 
11.1%
1 123
 
8.8%
5 23
 
1.7%
, 1
 
0.1%
1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1392
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 533
38.3%
$ 278
20.0%
. 278
20.0%
3 155
 
11.1%
1 123
 
8.8%
5 23
 
1.7%
, 1
 
0.1%
1
 
0.1%

Refund Reason
Categorical

High correlation  Missing 

Distinct6
Distinct (%)46.2%
Missing726
Missing (%)98.2%
Memory size5.9 KiB
Accidental Charge
Canceled Order
Canceled order
Delivery fee refund
Complimentary item

Length

Max length19
Median length18
Mean length16.076923
Min length14

Characters and Unicode

Total characters209
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)30.8%

Sample

1st rowCanceled order
2nd rowCanceled Order
3rd rowDelivery fee refund
4th rowCanceled Order
5th rowCanceled Order

Common Values

ValueCountFrequency (%)
Accidental Charge 6
 
0.8%
Canceled Order 3
 
0.4%
Canceled order 1
 
0.1%
Delivery fee refund 1
 
0.1%
Complimentary item 1
 
0.1%
Complimentary 1
 
0.1%
(Missing) 726
98.2%

Length

2025-01-02T11:45:04.808982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:04.934239image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
accidental 6
23.1%
charge 6
23.1%
canceled 4
15.4%
order 4
15.4%
complimentary 2
 
7.7%
delivery 1
 
3.8%
fee 1
 
3.8%
refund 1
 
3.8%
item 1
 
3.8%

Most occurring characters

ValueCountFrequency (%)
e 32
15.3%
r 18
 
8.6%
a 18
 
8.6%
c 16
 
7.7%
d 15
 
7.2%
14
 
6.7%
n 13
 
6.2%
l 13
 
6.2%
C 12
 
5.7%
i 10
 
4.8%
Other values (13) 48
23.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 209
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 32
15.3%
r 18
 
8.6%
a 18
 
8.6%
c 16
 
7.7%
d 15
 
7.2%
14
 
6.7%
n 13
 
6.2%
l 13
 
6.2%
C 12
 
5.7%
i 10
 
4.8%
Other values (13) 48
23.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 209
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 32
15.3%
r 18
 
8.6%
a 18
 
8.6%
c 16
 
7.7%
d 15
 
7.2%
14
 
6.7%
n 13
 
6.2%
l 13
 
6.2%
C 12
 
5.7%
i 10
 
4.8%
Other values (13) 48
23.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 209
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 32
15.3%
r 18
 
8.6%
a 18
 
8.6%
c 16
 
7.7%
d 15
 
7.2%
14
 
6.7%
n 13
 
6.2%
l 13
 
6.2%
C 12
 
5.7%
i 10
 
4.8%
Other values (13) 48
23.0%

Discount Name
Categorical

High correlation  Missing 

Distinct6
Distinct (%)40.0%
Missing724
Missing (%)98.0%
Memory size5.9 KiB
Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!
10% off all orders—GETYOURBABYBACK!
Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!
Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!
Family and Friends

Length

Max length138
Median length103
Mean length65.733333
Min length6

Characters and Unicode

Total characters986
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)13.3%

Sample

1st rowFamily and Friends
2nd row10% off all orders—GETYOURBABYBACK!
3rd row10% off all orders—GETYOURBABYBACK!
4th row10% off all orders—GETYOURBABYBACK!
5th row10% off all orders—GETYOURBABYBACK!

Common Values

ValueCountFrequency (%)
Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK! 5
 
0.7%
10% off all orders—GETYOURBABYBACK! 4
 
0.5%
Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK! 2
 
0.3%
Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK!, Discount: Coupon GETYOURBABYBACK! 2
 
0.3%
Family and Friends 1
 
0.1%
Coupon 1
 
0.1%
(Missing) 724
98.0%

Length

2025-01-02T11:45:05.078081image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:05.172644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
coupon 25
27.2%
discount 24
26.1%
getyourbabyback 24
26.1%
10 4
 
4.3%
off 4
 
4.3%
all 4
 
4.3%
orders—getyourbabyback 4
 
4.3%
family 1
 
1.1%
and 1
 
1.1%
friends 1
 
1.1%

Most occurring characters

ValueCountFrequency (%)
B 84
 
8.5%
o 82
 
8.3%
77
 
7.8%
A 56
 
5.7%
Y 56
 
5.7%
C 53
 
5.4%
n 51
 
5.2%
u 49
 
5.0%
s 29
 
2.9%
O 28
 
2.8%
Other values (27) 421
42.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 986
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
B 84
 
8.5%
o 82
 
8.3%
77
 
7.8%
A 56
 
5.7%
Y 56
 
5.7%
C 53
 
5.4%
n 51
 
5.2%
u 49
 
5.0%
s 29
 
2.9%
O 28
 
2.8%
Other values (27) 421
42.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 986
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
B 84
 
8.5%
o 82
 
8.3%
77
 
7.8%
A 56
 
5.7%
Y 56
 
5.7%
C 53
 
5.4%
n 51
 
5.2%
u 49
 
5.0%
s 29
 
2.9%
O 28
 
2.8%
Other values (27) 421
42.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 986
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
B 84
 
8.5%
o 82
 
8.3%
77
 
7.8%
A 56
 
5.7%
Y 56
 
5.7%
C 53
 
5.4%
n 51
 
5.2%
u 49
 
5.0%
s 29
 
2.9%
O 28
 
2.8%
Other values (27) 421
42.7%

Transaction Status
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Complete
721 
Voided
 
18

Length

Max length8
Median length8
Mean length7.9512855
Min length6

Characters and Unicode

Total characters5876
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowComplete
2nd rowComplete
3rd rowComplete
4th rowComplete
5th rowComplete

Common Values

ValueCountFrequency (%)
Complete 721
97.6%
Voided 18
 
2.4%

Length

2025-01-02T11:45:05.297482image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:05.373526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
complete 721
97.6%
voided 18
 
2.4%

Most occurring characters

ValueCountFrequency (%)
e 1460
24.8%
o 739
12.6%
C 721
12.3%
m 721
12.3%
p 721
12.3%
l 721
12.3%
t 721
12.3%
d 36
 
0.6%
V 18
 
0.3%
i 18
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5876
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1460
24.8%
o 739
12.6%
C 721
12.3%
m 721
12.3%
p 721
12.3%
l 721
12.3%
t 721
12.3%
d 36
 
0.6%
V 18
 
0.3%
i 18
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5876
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1460
24.8%
o 739
12.6%
C 721
12.3%
m 721
12.3%
p 721
12.3%
l 721
12.3%
t 721
12.3%
d 36
 
0.6%
V 18
 
0.3%
i 18
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5876
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1460
24.8%
o 739
12.6%
C 721
12.3%
m 721
12.3%
p 721
12.3%
l 721
12.3%
t 721
12.3%
d 36
 
0.6%
V 18
 
0.3%
i 18
 
0.3%

Cash App
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
$0.00
739 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3695
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 739
100.0%

Length

2025-01-02T11:45:05.444827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:05.514750image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.00 739
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3695
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3695
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3695
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Order Reference ID
Text

Missing 

Distinct506
Distinct (%)100.0%
Missing233
Missing (%)31.5%
Memory size5.9 KiB
2025-01-02T11:45:05.610494image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length36
Median length36
Mean length34.909091
Min length32

Characters and Unicode

Total characters17664
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique506 ?
Unique (%)100.0%

Sample

1st rowb75db65b-c9d4-4e35-b656-d3d30eda97c3
2nd row27d82d1b-934c-4dd7-96e6-b59aea286b6c
3rd row11096141-e839-4477-98b6-3805caa1b73a
4th row11efbe418020b59bbd5e3cecef6dbaf0
5th rowc3976dd3-9d48-4b7e-a068-2de0893eaa45
ValueCountFrequency (%)
d753f919-7655-4102-80d9-0830d5745d65 1
 
0.2%
05e34647-0e93-4092-8dd9-93596a782064 1
 
0.2%
3e9d645d-fd30-4e1c-87af-f2e5302b2651 1
 
0.2%
11ef3e1ee15fe541b9b13cecef6dbae8 1
 
0.2%
230b070d-d39c-401c-8437-825c19c2c70d 1
 
0.2%
387e2e2c-b197-4a60-9b7b-deca2ee0eb19 1
 
0.2%
11ef3f00ca8bfd0bb9b13cecef6dbae8 1
 
0.2%
42082a78-943f-4eb0-9dff-36d6d75978a9 1
 
0.2%
e905f6ee-dbab-4dfb-90b2-af599f158447 1
 
0.2%
11ef4062aa08c8feb9b13cecef6dbae8 1
 
0.2%
Other values (496) 496
98.0%
2025-01-02T11:45:05.827140image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1472
 
8.3%
e 1314
 
7.4%
b 1179
 
6.7%
4 1147
 
6.5%
f 1140
 
6.5%
c 1105
 
6.3%
1 1101
 
6.2%
a 1047
 
5.9%
d 1007
 
5.7%
8 1005
 
5.7%
Other values (7) 6147
34.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 17664
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
- 1472
 
8.3%
e 1314
 
7.4%
b 1179
 
6.7%
4 1147
 
6.5%
f 1140
 
6.5%
c 1105
 
6.3%
1 1101
 
6.2%
a 1047
 
5.9%
d 1007
 
5.7%
8 1005
 
5.7%
Other values (7) 6147
34.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 17664
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
- 1472
 
8.3%
e 1314
 
7.4%
b 1179
 
6.7%
4 1147
 
6.5%
f 1140
 
6.5%
c 1105
 
6.3%
1 1101
 
6.2%
a 1047
 
5.9%
d 1007
 
5.7%
8 1005
 
5.7%
Other values (7) 6147
34.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 17664
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
- 1472
 
8.3%
e 1314
 
7.4%
b 1179
 
6.7%
4 1147
 
6.5%
f 1140
 
6.5%
c 1105
 
6.3%
1 1101
 
6.2%
a 1047
 
5.9%
d 1007
 
5.7%
8 1005
 
5.7%
Other values (7) 6147
34.8%

Fulfillment Note
Text

Missing 

Distinct17
Distinct (%)100.0%
Missing722
Missing (%)97.7%
Memory size5.9 KiB
2025-01-02T11:45:06.001909image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length396
Median length278
Mean length227.29412
Min length182

Characters and Unicode

Total characters3864
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st rowDelivery Instructions: Please put anything spicy on the side. Thank you! Delivery By Doordash. Courier pickup time: 11/28/2024 4:00pm - 4:10pm. For issues, contact 1(855) 222-8111 and provide the following delivery ID: 2376549462. Total Fees Applied: $15.49
2nd rowNo Contact Order. Delivery Instructions: PLEASE CALL 818 912 3845 Juan Jose Munoz will answer Delivery By Doordash. Courier pickup time: 11/28/2024 3:35pm - 3:45pm. For issues, contact 1(855) 222-8111 and provide the following delivery ID: 2376523971. Total Fees Applied: $17,29
3rd rowDelivery By Doordash. Courier pickup time: 11/27/2024 10:46am - 10:56am. For issues, contact 1(855) 222-8111 and provide the following delivery ID: 2374954029. Total Fees Applied: $16.25
4th rowDelivery Instructions: Hand to Erika - thank you. Delivery By Doordash. Courier pickup time: 11/28/2024 11:31am - 11:41am. For issues, contact 1(855) 222-8111 and provide the following delivery ID: 2371991477. Total Fees Applied: $46.29
5th rowDelivery By Doordash. Courier pickup time: 10/29/2024 5:44pm - 5:54pm. For issues, contact 1(855) 222-8111 and provide the following delivery ID: 2351642407. Total Fees Applied: $15.49
ValueCountFrequency (%)
delivery 41
 
7.2%
20
 
3.5%
contact 19
 
3.3%
the 19
 
3.3%
for 18
 
3.2%
issues 18
 
3.2%
and 18
 
3.2%
pickup 17
 
3.0%
doordash 17
 
3.0%
courier 17
 
3.0%
Other values (168) 365
64.1%
2025-01-02T11:45:06.283578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
522
 
13.5%
e 263
 
6.8%
o 199
 
5.2%
i 187
 
4.8%
r 152
 
3.9%
2 151
 
3.9%
l 135
 
3.5%
1 132
 
3.4%
t 130
 
3.4%
s 121
 
3.1%
Other values (56) 1872
48.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3864
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
522
 
13.5%
e 263
 
6.8%
o 199
 
5.2%
i 187
 
4.8%
r 152
 
3.9%
2 151
 
3.9%
l 135
 
3.5%
1 132
 
3.4%
t 130
 
3.4%
s 121
 
3.1%
Other values (56) 1872
48.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3864
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
522
 
13.5%
e 263
 
6.8%
o 199
 
5.2%
i 187
 
4.8%
r 152
 
3.9%
2 151
 
3.9%
l 135
 
3.5%
1 132
 
3.4%
t 130
 
3.4%
s 121
 
3.1%
Other values (56) 1872
48.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3864
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
522
 
13.5%
e 263
 
6.8%
o 199
 
5.2%
i 187
 
4.8%
r 152
 
3.9%
2 151
 
3.9%
l 135
 
3.5%
1 132
 
3.4%
t 130
 
3.4%
s 121
 
3.1%
Other values (56) 1872
48.4%

Free Processing Applied
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
$0.00
739 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3695
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 739
100.0%

Length

2025-01-02T11:45:06.373034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:06.443077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.00 739
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3695
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3695
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3695
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2217
60.0%
$ 739
 
20.0%
. 739
 
20.0%

Unattributed Tips
Categorical

Constant  Missing 

Distinct1
Distinct (%)0.1%
Missing13
Missing (%)1.8%
Memory size5.9 KiB
$0.00
726 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3630
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row$0.00
2nd row$0.00
3rd row$0.00
4th row$0.00
5th row$0.00

Common Values

ValueCountFrequency (%)
$0.00 726
98.2%
(Missing) 13
 
1.8%

Length

2025-01-02T11:45:06.550721image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-01-02T11:45:06.646791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
ValueCountFrequency (%)
0.00 726
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2178
60.0%
$ 726
 
20.0%
. 726
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3630
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2178
60.0%
$ 726
 
20.0%
. 726
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3630
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2178
60.0%
$ 726
 
20.0%
. 726
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3630
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2178
60.0%
$ 726
 
20.0%
. 726
 
20.0%

Correlations

2025-01-02T11:45:06.696726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Card BrandCard Entry MethodsDevice NameDining OptionDiscount NameDiscountsEvent TypeFee Fixed RateFee Percentage RatePartial RefundsRefund ReasonService ChargesSourceThird Party FeesTransaction Status
Card Brand1.0000.0490.1020.0830.8320.0000.0000.5810.5010.0001.0000.0000.3560.0001.000
Card Entry Methods0.0491.0000.7010.1090.8320.0000.0000.5740.5710.0000.0000.1480.4580.0931.000
Device Name0.1020.7011.0000.0321.0000.0000.0000.9960.9960.0001.0001.0001.0001.0000.307
Dining Option0.0830.1090.0321.0001.0000.0000.0000.0440.0441.0001.0001.0000.0001.0000.122
Discount Name0.8320.8321.0001.0001.0001.0000.0000.8320.8321.000NaN0.3400.5960.3401.000
Discounts0.0000.0000.0000.0001.0001.0000.2360.0000.0000.0000.0000.2180.0000.1250.000
Event Type0.0000.0000.0000.0000.0000.2361.0000.0000.0000.4731.0000.0000.3110.0000.000
Fee Fixed Rate0.5810.5740.9960.0440.8320.0000.0001.0000.9960.0000.0000.0000.6890.0001.000
Fee Percentage Rate0.5010.5710.9960.0440.8320.0000.0000.9961.0000.0000.0000.0000.6180.0001.000
Partial Refunds0.0000.0000.0001.0001.0000.0000.4730.0000.0001.0000.6090.0000.5670.0000.000
Refund Reason1.0000.0001.0001.000NaN0.0001.0000.0000.0000.6091.0001.0000.7981.0001.000
Service Charges0.0000.1481.0001.0000.3400.2180.0000.0000.0000.0001.0001.0000.0000.9620.000
Source0.3560.4581.0000.0000.5960.0000.3110.6890.6180.5670.7980.0001.0000.0000.209
Third Party Fees0.0000.0931.0001.0000.3400.1250.0000.0000.0000.0001.0000.9620.0001.0000.000
Transaction Status1.0001.0000.3070.1221.0000.0000.0001.0001.0000.0001.0000.0000.2090.0001.000

Missing values

2025-01-02T11:44:51.519008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
A simple visualization of nullity by column.
2025-01-02T11:44:51.791493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-01-02T11:44:52.111473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

DateTimeTime ZoneGross SalesDiscountsService ChargesNet SalesGift Card SalesTaxTipPartial RefundsTotal CollectedSourceCardCard Entry MethodsCashSquare Gift CardOther TenderOther Tender TypeTender NoteFeesNet TotalTransaction IDPayment IDCard BrandPAN SuffixDevice NameStaff NameStaff IDDetailsDescriptionEvent TypeLocationDining OptionCustomer IDCustomer NameCustomer Reference IDDevice NicknameThird Party FeesDeposit IDDeposit DateDeposit DetailsFee Percentage RateFee Fixed RateRefund ReasonDiscount NameTransaction StatusCash AppOrder Reference IDFulfillment NoteFree Processing AppliedUnattributed Tips
02024-12-2012:59:21Pacific Time (US & Canada)$48.99$0.00$0.00$48.99$0.00$4.65$0.00$0.00$53.64Uber Eats Delivery$0.00NaN$0.00$0.00$53.64CustomNaN$0.00$53.64wtpgITVklFVbT03zSxEOTiPBIJIZYjPzEjnPTdbSu666RZXocLKRH5PYZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/wtpgITVklFVbT03zSxEOTiPBIJIZY/by-unit/LCT784V6GTPNEBEEF BACK RIBS (Full Rack) (Regular) - Juicy, tender, and fall-of-the-bone! The new hit of the hood - glazed beef back ribs. Generously seasoned with our house-made rub mix and glazed with our Signature or Sweet&Spicy BBQ sauces. Includes a complimentary 3oz BBQ Sauce and pickled jalapeño peppers.\n\n\n*ALLERGEN CONTENT*: Sauce and Glaze may contain FISH and MUSTARD SEEDS\n*CONTAINS BONES*PaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.00b75db65b-c9d4-4e35-b656-d3d30eda97c3NaN$0.00$0.00
12024-12-1921:06:36Pacific Time (US & Canada)$37.46$0.00$0.00$37.46$0.00$3.56$0.00$0.00$41.02Point of Sale$0.00NaN$41.02$0.00$0.00NaNNaN$0.00$41.0227ARtgJmvdGYMN6Q3oUKeNieVftpZEjxIjifWs7uqDIN7dNzRuaBNaNNaNVartanNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/27ARtgJmvdGYMN6Q3oUKeNieV/by-unit/LCT784V6GTPNECRINKLE FRIES (Side) - Onions/bbq, GLAZED BABY BACK PORK RIBS (Half rack) - Behold!\nThese ribs are to die for! Generously rubbed and glazed, slow-cooked for a whole day, tender, juicy, and fall-off-the bone like you’ve never experienced before.\nSignature bbq sauce and pickled jalapeños are on the house!\n\n\n\n\n*Allergen warning*: Sauce may contain traces of FISH and MUSTARD seeds.\n\n\n*Contains Rib Bones*, SIGNATURE BBQ DIP (Regular) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it.\n\n\n\n\n(*ALLERGEN WARNING* may contain seafood), 2 x DR. PEPPER ™ (Regular)PaymentBelly RubbPick UpNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.00NaNNaN$0.00$0.00
22024-12-1918:46:12Pacific Time (US & Canada)$132.15$0.00$0.00$132.15$0.00$11.80$0.00$0.00$143.95Point of Sale$0.00NaN$143.95$0.00$0.00NaNNaN$0.00$143.95qj7Fk37n6zuXu6wRROz834qeVd4NKBPDP0fmACxvrTPg0J7RMuaBNaNNaNDashboard Belly RubbNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/qj7Fk37n6zuXu6wRROz834qeV/by-unit/LCT784V6GTPNECRINKLE FRIES (Side) - Onion and bbq, BAKED BABY POTATOES (Regular) - Onions/bbq, 2 x DR. PEPPER ™ (Regular), 2 x SPRITE™ (Regular), CHICKEN WINGS (6 pcs) - Juicy and Crispy, totally addictive Chicken Wings.\nChef Walter's choice - Spicy BBQ Glaze & Zesty Lemon Pepper., 2 x SIGNATURE BBQ DIP (Regular) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it.\n\n\n\n\n(*ALLERGEN WARNING* may contain seafood), CRINKLE FRIES (Side) - Onions/BBQ, CHICKEN WINGS (6 pcs) - Juicy and Crispy, totally addictive Chicken Wings.\nChef Walter's choice - Spicy BBQ Glaze & Zesty Lemon Pepper., GRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels.\n\n\n\n*Allergen Contents* Contains DAIRY, PICKLED JALAPEÑO PEPPERS (Regular), CRINKLE FRIES (Side) - Onions/BBQ, PICKLED JALAPEÑO PEPPERS (Regular), SIGNATURE BBQ DIP (Regular) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it.\n\n\n\n\n(*ALLERGEN WARNING* may contain seafood), 2 x SPRITE™ (Regular), 2 x DR. PEPPER ™ (Regular), BAKED BABY POTATOES (Regular) - Onion/BBQ, 2 x CHICKEN WINGS (6 pcs) - Juicy and Crispy, totally addictive Chicken Wings.\nChef Walter's choice - Spicy BBQ Glaze & Zesty Lemon Pepper.PaymentBelly RubbPick UpWCS1A47C053490N4C24WHT466CTroy IssacNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.00NaNNaN$0.00$0.00
32024-12-1918:14:02Pacific Time (US & Canada)$40.12$0.00$0.00$40.12$0.00$3.81$0.00$0.00$43.93Uber Eats Delivery$0.00NaN$0.00$0.00$43.93CustomNaN$0.00$43.932yOoGdYSFvZRHxhsOSSkEJjxFNXZYVMh8gh6UDDO9NHBN4cjHxiKLf85YYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/2yOoGdYSFvZRHxhsOSSkEJjxFNXZY/by-unit/LCT784V6GTPNELOADED FRIES (Regular) - Load up our crispy crinkle fries to your heart’s content, and take a shortcut to making your belly full.\n\n*Allergen warning*: Cheese contains DAIRY., CHICKEN WINGS (6 pcs) - Juicy and Crispy, totally addictive Chicken Wings.\nChef Walter's choice - Spicy BBQ Glaze & Zesty Lemon Pepper.PaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.0027d82d1b-934c-4dd7-96e6-b59aea286b6cNaN$0.00$0.00
42024-12-1914:34:03Pacific Time (US & Canada)$32.19$0.00$0.00$32.19$0.00$3.06$0.00$0.00$35.25Uber Eats Delivery$0.00NaN$0.00$0.00$35.25CustomNaN$0.00$35.25aKZCc6bo1YtLdZXGoeY7mB2iooAZYFoVXJzew168yXlsZBx1NyUTs48RZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/aKZCc6bo1YtLdZXGoeY7mB2iooAZY/by-unit/LCT784V6GTPNECIABATTA STEAK SANDWICH (Regular) - Slow-cooked cut of juicy, flat iron steak on a bed of arugula, with tangy chimichurri, melted provolone cheese(real california milk), and a smear of hummus on toasted ciabatta bread., LOADED FRIES (Regular) - Load up our crispy crinkle fries to your heart’s content, and take a shortcut to making your belly full.\n\n*Allergen warning*: Cheese contains DAIRY.PaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.0011096141-e839-4477-98b6-3805caa1b73aNaN$0.00$0.00
52024-12-1912:18:49Pacific Time (US & Canada)$63.34$0.00$0.00$63.34$0.00$6.02$6.33$0.00$75.69Square Online$75.69Keyed$0.00$0.00$0.00NaNNaN-$2.50$73.190rBd81PH9QYDGA1neACtoOcCjWLZYNUPEuRvVIiLATIcu66QPAjKCVUOZYMasterCard4305NaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/0rBd81PH9QYDGA1neACtoOcCjWLZY/by-unit/LCT784V6GTPNEBEEF BACK RIBS (Full Rack) (Regular) - Juicy, tender, and fall-of-the-bone! The new hit of the hood - glazed beef back ribs. Generously seasoned with our house-made rub mix and glazed with our Signature or Sweet&Spicy BBQ sauces. Includes a complimentary 3oz BBQ Sauce and pickled jalapeño peppers.\n\n\n*ALLERGEN CONTENT*: Sauce and Glaze may contain FISH and MUSTARD SEEDS\n*CONTAINS BONES*, ARTISAN MAC AND CHEESE (Full) - Forget the powdered cheese and boxed instant macaroni style “mac and cheese”!\nWe use only real aged parmesan cheese and real sharp cheddar, melted together with heavy cream and our secret spice mix for the smoothest cheese pasta sauce you’ve ever had. Our pasta is slow dried and made in Italy, and it’s all brought together with the final finishing touch of sweet golden corn, and dusted with smoked paprika and freshly ground black pepper. Quality you can and will taste!PaymentBelly RubbNaNPXKHFYGYSS3N37MPV5CPWVXN5RRip Geru- MaaNaNNaN$0.003ZY3NPFDXY610V71C4TXK50CSVB12024-12-19https://app.squareup.com/dashboard/sales/deposits/3ZY3NPFDXY610V71C4TXK50CSVB1/by-unit/LCT784V6GTPNE2.9$0.30NaNNaNComplete$0.0011efbe418020b59bbd5e3cecef6dbaf0NaN$0.00$0.00
62024-12-1911:01:55Pacific Time (US & Canada)$22.06$0.00$0.00$22.06$0.00$1.20$0.00$0.00$23.26Postmates Delivery$0.00NaN$0.00$0.00$23.26CustomNaN$0.00$23.262gzJwXWSFWBgbCAe5CeD8kiwIsFZYV0vPNSEh0b2HGJV2KheBdmxYCHJZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/2gzJwXWSFWBgbCAe5CeD8kiwIsFZY/by-unit/LCT784V6GTPNEPINEAPPLE SLAW (Full) - Fruity meets smokey in this tropical coleslaw salad, topped with grilled, sweet pineapple chunks and dusted with smoked paprika., ARTISAN MAC AND CHEESE (Full) - Forget the powdered cheese and boxed instant macaroni style “mac and cheese”!\nWe use only real aged parmesan cheese and real sharp cheddar, melted together with heavy cream and our secret spice mix for the smoothest cheese pasta sauce you’ve ever had. Our pasta is slow dried and made in Italy, and it’s all brought together with the final finishing touch of sweet golden corn, and dusted with smoked paprika and freshly ground black pepper. Quality you can and will taste!PaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.00c3976dd3-9d48-4b7e-a068-2de0893eaa45NaN$0.00$0.00
72024-12-1818:57:13Pacific Time (US & Canada)$57.99$0.00$0.00$57.99$0.00$5.03$0.00$0.00$63.02DOORDASH$0.00NaN$0.00$0.00$63.02CustomDoorDash dc942764-e460-3001-8489-45a9246dab1f$0.00$63.028FchEMgjx2tS7ULdSMrqRVBndkDZY9oV84nIIOHYDx2PB4s2PGJw7itcZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/8FchEMgjx2tS7ULdSMrqRVBndkDZY/by-unit/LCT784V6GTPNEARTISAN MAC AND CHEESE (Side) - Forget the powdered cheese and boxed instant macaroni style “mac and cheese”!\nWe use only real aged parmesan cheese and real sharp cheddar, melted together with heavy cream and our secret spice mix for the smoothest cheese pasta sauce you’ve ever had. Our pasta is slow dried and made in Italy, and it’s all brought together with the final finishing touch of sweet golden corn, and dusted with smoked paprika and freshly ground black pepper. Quality you can and will taste!, BEEF BACK RIBS (Full Rack) (Regular) - Juicy, tender, and fall-of-the-bone! The new hit of the hood - glazed beef back ribs. Generously seasoned with our house-made rub mix and glazed with our Signature or Sweet&Spicy BBQ sauces. Includes a complimentary 3oz BBQ Sauce and pickled jalapeño peppers.\n\n\n*ALLERGEN CONTENT*: Sauce and Glaze may contain FISH and MUSTARD SEEDS\n*CONTAINS BONES*PaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.007b58a7a5-ae03-4890-950a-d87dd78456cdNaN$0.00$0.00
82024-12-1813:31:56Pacific Time (US & Canada)$37.90$0.00$0.00$37.90$0.00$3.46$0.00$0.00$41.36Uber Eats Delivery$0.00NaN$0.00$0.00$41.36CustomNaN$0.00$41.36IN7w69c1ApXZEEeQNxjSgbzHkWEZYH3kNYAAQiAdhCS7bbCWx8b3vxiIZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/IN7w69c1ApXZEEeQNxjSgbzHkWEZY/by-unit/LCT784V6GTPNECRISPY CHICKEN SANDWICH (Regular) - Crispy, juicy deep fried chicken with pickles, coleslaw, melted provolone cheese and a generous drizzle of our spicy boom-boom sauce in a fluffy brioche bun., LOADED FRIES (Regular) - Load up our crispy crinkle fries to your heart’s content, and take a shortcut to making your belly full.\n\n*Allergen warning*: Cheese contains DAIRY., CREAMY BLUE CHEESE DIP (Regular) - Creamy, tangy, and utterly irresistible, this velvety sauce is the perfect dipping partner for your favorite bites. We love it with our Glazed Wings or Crincle Fries, ARTISAN MAC AND CHEESE (Side) - Forget the powdered cheese and boxed instant macaroni style “mac and cheese”!\nWe use only real aged parmesan cheese and real sharp cheddar, melted together with heavy cream and our secret spice mix for the smoothest cheese pasta sauce you’ve ever had. Our pasta is slow dried and made in Italy, and it’s all brought together with the final finishing touch of sweet golden corn, and dusted with smoked paprika and freshly ground black pepper. Quality you can and will taste!PaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.003fbd5f96-ebe8-4678-99c9-704ef428f819NaN$0.00$0.00
92024-12-1719:26:46Pacific Time (US & Canada)$113.09$0.00$0.00$113.09$0.00$10.74$0.00$0.00$123.83Uber Eats Delivery$0.00NaN$0.00$0.00$123.83CustomNaN$0.00$123.83YlJHIzmHL7owvQWQfiDXlcaF2OeZYDBUGe4DedsM7vd4WrngJh1QQfwOZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/YlJHIzmHL7owvQWQfiDXlcaF2OeZY/by-unit/LCT784V6GTPNE3 x BEEF SHORT RIB (Regular) - Incredibly tender, full of rich and deep flavor Angus Beef Short Rib. Slow-cooked for over a day to perfection and generously glazed in “Demi-Glacé” sauce. Comes with a complimentary portion of slaw and a few dill pickle chips. And as always, NO MSG ever added.\n\n\n\n*ALLERGEN WARNING*: May contain traces of fish. Coleslaw contains: soybean oil, eggs., ARTISAN MAC AND CHEESE (Side) - Forget the powdered cheese and boxed instant macaroni style “mac and cheese”!\nWe use only real aged parmesan cheese and real sharp cheddar, melted together with heavy cream and our secret spice mix for the smoothest cheese pasta sauce you’ve ever had. Our pasta is slow dried and made in Italy, and it’s all brought together with the final finishing touch of sweet golden corn, and dusted with smoked paprika and freshly ground black pepper. Quality you can and will taste!, GRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels.\n\n\n\n*Allergen Contents* Contains DAIRYPaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.00201cc64c-9f14-46e8-b50a-eb80cd47751aNaN$0.00$0.00
DateTimeTime ZoneGross SalesDiscountsService ChargesNet SalesGift Card SalesTaxTipPartial RefundsTotal CollectedSourceCardCard Entry MethodsCashSquare Gift CardOther TenderOther Tender TypeTender NoteFeesNet TotalTransaction IDPayment IDCard BrandPAN SuffixDevice NameStaff NameStaff IDDetailsDescriptionEvent TypeLocationDining OptionCustomer IDCustomer NameCustomer Reference IDDevice NicknameThird Party FeesDeposit IDDeposit DateDeposit DetailsFee Percentage RateFee Fixed RateRefund ReasonDiscount NameTransaction StatusCash AppOrder Reference IDFulfillment NoteFree Processing AppliedUnattributed Tips
7292024-01-1012:54:36Pacific Time (US & Canada)$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00Point of Sale$0.00NaN$0.00$0.00$0.00NaNNaN$0.00$0.00wqVJOGk5PECcpTQw8uoZJQ8eVhQUIFjg6vvXzYTZiI72db9rNvaBNaNNaNDashboard Belly RubbNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/wqVJOGk5PECcpTQw8uoZJQ8eV/by-unit/LCT784V6GTPNE9 x BELLY SLIDERS (2 sliders, Voided) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), 5 x GRILLED SWEET CORN (Regular, Voided) - Grilled sweet corn with melt-in-your-mouth buttery kernels., GET YOUR BABY BACK! (Half rack, Voided) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, GET YOUR BABY BACK! (Full Rack, Voided) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, 4 x SWEET AND SPICY BBQ SAUCE (Regular, Voided) - Our unbeatable classic with a smoky and spicy twist.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* May contain seafood, PINEAPPLE SLAW (Full, Voided) - Fruity meets smokey in this tropical coleslaw salad, topped with grilled, sweet pineapple chunks and dusted with smoked paprika., 4 x SIGNATURE BBQ SAUCE (Regular, Voided) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it.\n\n\n\n\n(*ALLERGEN WARNING* may contain seafood)PaymentBelly RubbPick UpNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNVoided$0.00NaNNaN$0.00$0.00
7302024-01-0617:50:12Pacific Time (US & Canada)$68.96$0.00$0.00$68.96$0.00$5.79$0.00$0.00$74.75DOORDASH$0.00NaN$0.00$0.00$74.75CustomDoorDash 76688c75-b202-4cdb-a17a-6144256755ef$0.00$74.75aqXncDlAUQxi4WIhGtFD9dwfoEKZY37unGjok1DDDA3WFnb0mdX8RPC8YYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/aqXncDlAUQxi4WIhGtFD9dwfoEKZY/by-unit/LCT784V6GTPNE2 x GRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels., PINEAPPLE SLAW (Side) - Fruity meets smokey in this tropical coleslaw salad, topped with grilled, sweet pineapple chunks and dusted with smoked paprika., MAC&CHEESE (Full) - Here’s to taking the comfort of good ol’ Mac and Cheese to a whole new level. With our warm spice mix and creamy cheese blend, this is the coziest mac and cheese you’ll find, textured with golden sweet corn., BELLY SLIDERS (4 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), GET YOUR BABY BACK! (Full Rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood productsPaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.0011aa93ac-2ee9-4a49-80c4-b61ebff617cdNaN$0.00$0.00
7312024-01-0616:55:31Pacific Time (US & Canada)$26.98$0.00$0.00$26.98$0.00$2.56$0.00$0.00$29.54Point of Sale$29.54Tapped$0.00$0.00$0.00NaNNaN-$0.87$28.67mfYUKul1XGJLREel7lqabMveVHdLB7BtsEoiXMSeoOhB8kZAJuaBAmerican Express2007VartanNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/mfYUKul1XGJLREel7lqabMveV/by-unit/LCT784V6GTPNEGET YOUR BABY BACK! (Half rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, GRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels.PaymentBelly RubbPick UpQ170DHBMPCY9K1ZZ49P049BCERNarek EkmekjyanNaNNaN$0.003Z6KXRD5REVH3ZQCR0MM2HMA1AWS2024-01-06https://app.squareup.com/dashboard/sales/deposits/3Z6KXRD5REVH3ZQCR0MM2HMA1AWS/by-unit/LCT784V6GTPNE2.6$0.10NaNNaNComplete$0.00NaNNaN$0.00$0.00
7322024-01-0616:55:10Pacific Time (US & Canada)$150.69$0.00$0.00$150.69$0.00$11.09$0.00$0.00$161.78Point of Sale$161.78Tapped$0.00$0.00$0.00NaNNaN-$4.31$157.47MoXsNI8XlPrEoaSlJzqXWMveVD7ZAXTRQF7v7NmILYNAjNLdtvaBAmerican Express2007VartanNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/MoXsNI8XlPrEoaSlJzqXWMveV/by-unit/LCT784V6GTPNE5 x BELLY SLIDERS (4 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), GET YOUR BABY BACK! (Full Rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood products, 4 x PINEAPPLE SLAW (Full) - Fruity meets smokey in this tropical coleslaw salad, topped with grilled, sweet pineapple chunks and dusted with smoked paprika., 3 x SIGNATURE BBQ SAUCE (Regular) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it.\n\n\n\n\n(*ALLERGEN WARNING* may contain seafood), 4 x SWEET AND SPICY BBQ SAUCE (Regular) - Our unbeatable classic with a smoky and spicy twist.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* May contain seafoodPaymentBelly RubbPick Up, For HereQ170DHBMPCY9K1ZZ49P049BCERNarek EkmekjyanNaNNaN$0.003ZSKE8Z3R0MH4RX8766CH6KGQWNS2024-01-06https://app.squareup.com/dashboard/sales/deposits/3ZSKE8Z3R0MH4RX8766CH6KGQWNS/by-unit/LCT784V6GTPNE2.6$0.10NaNNaNComplete$0.00NaNNaN$0.00$0.00
7332024-01-0515:35:32Pacific Time (US & Canada)$51.44$0.00$0.00$51.44$0.00$4.89$0.00$0.00$56.33Point of Sale$56.33Tapped$0.00$0.00$0.00NaNNaN-$1.56$54.774EMJZdahqZfatjRKjlwQBveeVbNEInqDuctA3ZTwhtPcQpaFFuaBVisa7360VartanNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/4EMJZdahqZfatjRKjlwQBveeV/by-unit/LCT784V6GTPNE3 x BELLY SLIDERS (2 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), 3 x GRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels., 2 x MAC&CHEESE (Side) - Here’s to taking the comfort of good ol’ Mac and Cheese to a whole new level. With our warm spice mix and creamy cheese blend, this is the coziest mac and cheese you’ll find, textured with golden sweet corn., 3 x SIGNATURE BBQ SAUCE (Regular) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it.\n\n\n\n\n(*ALLERGEN WARNING* may contain seafood)PaymentBelly RubbFor HereNaNNaNNaNNaN$0.003Z4ST23PFWYS0GKCFY77HPP9RDXD2024-01-05https://app.squareup.com/dashboard/sales/deposits/3Z4ST23PFWYS0GKCFY77HPP9RDXD/by-unit/LCT784V6GTPNE2.6$0.10NaNNaNComplete$0.00NaNNaN$0.00$0.00
7342024-01-0515:34:06Pacific Time (US & Canada)$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00$0.00Point of Sale$0.00NaN$0.00$0.00$0.00NaNNaN$0.00$0.0061QDrhPRmvUAFb4JonCzP9leVR4M4NFfGLGQGtgbfOzAsGrAxvaBNaNNaNVartanNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/61QDrhPRmvUAFb4JonCzP9leV/by-unit/LCT784V6GTPNE2 x MAC&CHEESE (Side, Voided) - Here’s to taking the comfort of good ol’ Mac and Cheese to a whole new level. With our warm spice mix and creamy cheese blend, this is the coziest mac and cheese you’ll find, textured with golden sweet corn., 3 x BELLY SLIDERS (2 sliders, Voided) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!), 2 x SIGNATURE BBQ SAUCE (Regular, Voided) - Immerse your fries, your ribs, and yourself in this rich depth of flavor; fruity, tangy, sweet, smoky, and just a mild hint of chili at the end. We nailed it.\n\n\n\n\n(*ALLERGEN WARNING* may contain seafood)PaymentBelly RubbFor HereNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNVoided$0.00NaNNaN$0.00$0.00
7352024-01-0514:45:17Pacific Time (US & Canada)$31.97$0.00$0.00$31.97$0.00$2.28$0.00$0.00$34.25DOORDASH$0.00NaN$0.00$0.00$34.25CustomDoorDash 4d1c0394-6f14-458b-a36f-8022302cbb8e$0.00$34.25SMUKjXNdpQyOuBiyg8ZourKPLfcZYpE02sSvbtvB4rnFK3pz2NVNK8EeZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/SMUKjXNdpQyOuBiyg8ZourKPLfcZY/by-unit/LCT784V6GTPNEGRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels., CRINKLE FRIES (Side, Rosemary pepper) - Golden, crispy, and simply delicious-- enjoy our crinkle-cut fries with your choice of seasoning: black truffle salt, or rosemary with a dash of black pepper., GET YOUR BABY BACK! (Half rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood productsPaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.000d8d3f8d-b9b0-40a2-b4d9-f6a7271db197NaN$0.00$0.00
7362024-01-0513:24:31Pacific Time (US & Canada)$20.81$0.00$0.00$20.81$0.00$1.98$0.00$0.00$22.79DOORDASH$0.00NaN$0.00$0.00$22.79CustomDoorDash 72cff3d9-9cdd-4062-9274-8e750ce0dcfd$0.00$22.792iu6mLbKqnN4asrsl2Nvs5MN677YYB0mWIe7A4KY9sHyLjpxwlWCKTIUZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/2iu6mLbKqnN4asrsl2Nvs5MN677YY/by-unit/LCT784V6GTPNEMAC&CHEESE (Side) - Here’s to taking the comfort of good ol’ Mac and Cheese to a whole new level. With our warm spice mix and creamy cheese blend, this is the coziest mac and cheese you’ll find, textured with golden sweet corn., CRINKLE FRIES (Side, Rosemary pepper) - Golden, crispy, and simply delicious-- enjoy our crinkle-cut fries with your choice of seasoning: black truffle salt, or rosemary with a dash of black pepper., BELLY SLIDERS (2 sliders) - Tender, glazed pork belly with our hit pineapple slaw, a smear of our signature BBQ sauce, and jalapeño slices in a brioche bun. Choose from quantities of 2, 4, or 6. (Great shareable option!)PaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.005866fb4b-7be1-4abb-92c3-570db0a64f82NaN$0.00$0.00
7372024-01-0416:58:39Pacific Time (US & Canada)$35.37$0.00$0.00$35.37$0.00$2.60$0.00$0.00$37.97DOORDASH$0.00NaN$0.00$0.00$37.97CustomDoorDash dcfc3897-d998-4a76-9370-a4c9a8d141e0$0.00$37.97Alj33VmyfYStTvPvwtHsoAzflfLZYRONnP9BClsZJmGlPxDr7AEwfS1XZYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/Alj33VmyfYStTvPvwtHsoAzflfLZY/by-unit/LCT784V6GTPNEGRILLED SWEET CORN (Regular) - Grilled sweet corn with melt-in-your-mouth buttery kernels., CRINKLE FRIES (Side, Rosemary pepper) - Golden, crispy, and simply delicious-- enjoy our crinkle-cut fries with your choice of seasoning: black truffle salt, or rosemary with a dash of black pepper., GET YOUR BABY BACK! (Half rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood productsPaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.00b14bc1df-d4ef-45a5-9eed-fb9ac0694eceNaN$0.00$0.00
7382024-01-0314:04:45Pacific Time (US & Canada)$24.84$0.00$0.00$24.84$0.00$2.36$0.00$0.00$27.20DOORDASH$0.00NaN$0.00$0.00$27.20CustomDoorDash f51e9461-94b1-405c-9b67-739d4897841f$0.00$27.20wVP7Hej4tBfoa5qu8yuOwe7xGNQZYjB02AoC0BQAdzXbhMUTzXPvdA48YYNaNNaNNaNNaNNaNhttps://app.squareup.com/dashboard/sales/transactions/wVP7Hej4tBfoa5qu8yuOwe7xGNQZY/by-unit/LCT784V6GTPNEGET YOUR BABY BACK! (Half rack) - Juicy, succulent fall-off-the-bone pork ribs, glazed to sticky perfection with our signature BBQ sauce. Complementary pickled peppers and signature BBQ sauce included.\n\n\n\n\n\n\n\n*ALLERGEN WARNING* may contain seafood productsPaymentBelly RubbNaNNaNNaNNaNNaN$0.00NaNNaNNaNNaNNaNNaNNaNComplete$0.008a8fc68b-85de-41d0-8263-82abe3b868f4NaN$0.00$0.00